{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\brand\Desktop\PGM_ISQ_Final_Files\Replication_Materials\PGM_ISQ_logfile.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}11 Dec 2020, 16:39:57

{com}. do "C:\Users\brand\AppData\Local\Temp\STD00000000.tmp"
{txt}
{com}. ******************************************************************
. * Replication Code for "The Puzzle of Militia Containment" (ISQ) *
. * Brandon Bolte                                                  *
. * 12/11/20                                                       *
. ******************************************************************
. clear
{txt}
{com}. cd "C:\Users\brand\Desktop\PGM_ISQ_Final_Files\Replication_Materials"
{res}C:\Users\brand\Desktop\PGM_ISQ_Final_Files\Replication_Materials
{txt}
{com}. 
. 
. use "PGM_ISQmain.dta"
{txt}
{com}. 
. *** Main: Table 1 ***
. logit cnew1plus logtroop rpr, cluster(war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-144.81742}  
Iteration 1:{space 3}log pseudolikelihood = {res:-111.27536}  
Iteration 2:{space 3}log pseudolikelihood = {res: -110.8747}  
Iteration 3:{space 3}log pseudolikelihood = {res:-110.87359}  
Iteration 4:{space 3}log pseudolikelihood = {res:-110.87359}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       212
{txt}{col 49}Wald chi2({res}2{txt}){col 67}= {res}     22.56
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-110.87359{txt}{col 49}Pseudo R2{col 67}= {res}    0.2344

{txt}{ralign 78:(Std. Err. adjusted for {res:72} clusters in war_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   cnew1plus{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}logtroop {c |}{col 14}{res}{space 2} .4617695{col 26}{space 2} .1198974{col 37}{space 1}    3.85{col 46}{space 3}0.000{col 54}{space 4}  .226775{col 67}{space 3}  .696764
{txt}{space 9}rpr {c |}{col 14}{res}{space 2} 2.816502{col 26}{space 2} .8319953{col 37}{space 1}    3.39{col 46}{space 3}0.001{col 54}{space 4} 1.185821{col 67}{space 3} 4.447183
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-4.722133{col 26}{space 2}  1.02778{col 37}{space 1}   -4.59{col 46}{space 3}0.000{col 54}{space 4}-6.736546{col 67}{space 3}-2.707721
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit cnew2plus logtroop rpr, cluster(war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-96.584425}  
Iteration 1:{space 3}log pseudolikelihood = {res:-73.021993}  
Iteration 2:{space 3}log pseudolikelihood = {res:-68.672123}  
Iteration 3:{space 3}log pseudolikelihood = {res:-68.571352}  
Iteration 4:{space 3}log pseudolikelihood = {res:-68.571323}  
Iteration 5:{space 3}log pseudolikelihood = {res:-68.571323}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       212
{txt}{col 49}Wald chi2({res}2{txt}){col 67}= {res}     23.30
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-68.571323{txt}{col 49}Pseudo R2{col 67}= {res}    0.2900

{txt}{ralign 78:(Std. Err. adjusted for {res:72} clusters in war_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   cnew2plus{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}logtroop {c |}{col 14}{res}{space 2} .7133126{col 26}{space 2} .1587547{col 37}{space 1}    4.49{col 46}{space 3}0.000{col 54}{space 4}  .402159{col 67}{space 3} 1.024466
{txt}{space 9}rpr {c |}{col 14}{res}{space 2} 1.871288{col 26}{space 2} .8445335{col 37}{space 1}    2.22{col 46}{space 3}0.027{col 54}{space 4} .2160333{col 67}{space 3} 3.526544
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-6.634777{col 26}{space 2} 1.352529{col 37}{space 1}   -4.91{col 46}{space 3}0.000{col 54}{space 4}-9.285685{col 67}{space 3}-3.983869
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. logit cnew1plus logtroop rpr shared_ethnic criminal peasant semiofficial jointmembership, cluster(war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-131.47573}  
Iteration 1:{space 3}log pseudolikelihood = {res: -89.50357}  
Iteration 2:{space 3}log pseudolikelihood = {res:-88.269522}  
Iteration 3:{space 3}log pseudolikelihood = {res:-88.262543}  
Iteration 4:{space 3}log pseudolikelihood = {res:-88.262542}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       194
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}     56.69
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-88.262542{txt}{col 49}Pseudo R2{col 67}= {res}    0.3287

{txt}{ralign 81:(Std. Err. adjusted for {res:71} clusters in war_id)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      cnew1plus{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}logtroop {c |}{col 17}{res}{space 2} .5318106{col 29}{space 2} .1504835{col 40}{space 1}    3.53{col 49}{space 3}0.000{col 57}{space 4} .2368684{col 70}{space 3} .8267528
{txt}{space 12}rpr {c |}{col 17}{res}{space 2} 3.137071{col 29}{space 2} .8882642{col 40}{space 1}    3.53{col 49}{space 3}0.000{col 57}{space 4} 1.396105{col 70}{space 3} 4.878037
{txt}{space 2}shared_ethnic {c |}{col 17}{res}{space 2}-.1446531{col 29}{space 2} .6050489{col 40}{space 1}   -0.24{col 49}{space 3}0.811{col 57}{space 4}-1.330527{col 70}{space 3} 1.041221
{txt}{space 6}criminals {c |}{col 17}{res}{space 2}  .728135{col 29}{space 2}  .519258{col 40}{space 1}    1.40{col 49}{space 3}0.161{col 57}{space 4}-.2895919{col 70}{space 3} 1.745862
{txt}{space 7}peasants {c |}{col 17}{res}{space 2} 1.697365{col 29}{space 2} .4136544{col 40}{space 1}    4.10{col 49}{space 3}0.000{col 57}{space 4} .8866174{col 70}{space 3} 2.508113
{txt}{space 3}semiofficial {c |}{col 17}{res}{space 2}-1.146467{col 29}{space 2} .5023448{col 40}{space 1}   -2.28{col 49}{space 3}0.022{col 57}{space 4}-2.131044{col 70}{space 3} -.161889
{txt}jointmembership {c |}{col 17}{res}{space 2}-1.739581{col 29}{space 2}  .494041{col 40}{space 1}   -3.52{col 49}{space 3}0.000{col 57}{space 4}-2.707883{col 70}{space 3}-.7712781
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-5.463355{col 29}{space 2} 1.212164{col 40}{space 1}   -4.51{col 49}{space 3}0.000{col 57}{space 4}-7.839153{col 70}{space 3}-3.087557
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit cnew2plus logtroop rpr shared_ethnic criminal peasant semiofficial jointmembership, cluster(war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-91.571533}  
Iteration 1:{space 3}log pseudolikelihood = {res:-61.523903}  
Iteration 2:{space 3}log pseudolikelihood = {res:-54.931125}  
Iteration 3:{space 3}log pseudolikelihood = {res:-54.658737}  
Iteration 4:{space 3}log pseudolikelihood = {res:-54.658333}  
Iteration 5:{space 3}log pseudolikelihood = {res:-54.658333}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       194
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}     42.98
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-54.658333{txt}{col 49}Pseudo R2{col 67}= {res}    0.4031

{txt}{ralign 81:(Std. Err. adjusted for {res:71} clusters in war_id)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      cnew2plus{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}logtroop {c |}{col 17}{res}{space 2}  .778706{col 29}{space 2} .1956608{col 40}{space 1}    3.98{col 49}{space 3}0.000{col 57}{space 4}  .395218{col 70}{space 3} 1.162194
{txt}{space 12}rpr {c |}{col 17}{res}{space 2} 1.982796{col 29}{space 2} 1.091497{col 40}{space 1}    1.82{col 49}{space 3}0.069{col 57}{space 4}-.1564982{col 70}{space 3}  4.12209
{txt}{space 2}shared_ethnic {c |}{col 17}{res}{space 2}-.4749791{col 29}{space 2} .8497258{col 40}{space 1}   -0.56{col 49}{space 3}0.576{col 57}{space 4}-2.140411{col 70}{space 3} 1.190453
{txt}{space 6}criminals {c |}{col 17}{res}{space 2} 1.909199{col 29}{space 2} .8585022{col 40}{space 1}    2.22{col 49}{space 3}0.026{col 57}{space 4} .2265657{col 70}{space 3} 3.591833
{txt}{space 7}peasants {c |}{col 17}{res}{space 2} 2.524401{col 29}{space 2} .6885556{col 40}{space 1}    3.67{col 49}{space 3}0.000{col 57}{space 4} 1.174857{col 70}{space 3} 3.873945
{txt}{space 3}semiofficial {c |}{col 17}{res}{space 2}-1.428029{col 29}{space 2} .4434474{col 40}{space 1}   -3.22{col 49}{space 3}0.001{col 57}{space 4} -2.29717{col 70}{space 3}-.5588884
{txt}jointmembership {c |}{col 17}{res}{space 2} .3656012{col 29}{space 2} .6526193{col 40}{space 1}    0.56{col 49}{space 3}0.575{col 57}{space 4}-.9135092{col 70}{space 3} 1.644712
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-7.685008{col 29}{space 2} 2.213131{col 40}{space 1}   -3.47{col 49}{space 3}0.001{col 57}{space 4}-12.02266{col 70}{space 3}-3.347352
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. logit cnew1plus logtroop rpr shared_ethnic criminal peasant semiofficial jointmembership contigwar lngdpcapnew separatist polity num_militias3, cluster(war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-131.47573}  
Iteration 1:{space 3}log pseudolikelihood = {res:-78.966436}  
Iteration 2:{space 3}log pseudolikelihood = {res:-76.419967}  
Iteration 3:{space 3}log pseudolikelihood = {res:-76.342132}  
Iteration 4:{space 3}log pseudolikelihood = {res:-76.341847}  
Iteration 5:{space 3}log pseudolikelihood = {res:-76.341847}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       194
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     57.09
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-76.341847{txt}{col 49}Pseudo R2{col 67}= {res}    0.4193

{txt}{ralign 81:(Std. Err. adjusted for {res:71} clusters in war_id)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      cnew1plus{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}logtroop {c |}{col 17}{res}{space 2} .4547497{col 29}{space 2} .1795257{col 40}{space 1}    2.53{col 49}{space 3}0.011{col 57}{space 4} .1028859{col 70}{space 3} .8066136
{txt}{space 12}rpr {c |}{col 17}{res}{space 2} 3.281873{col 29}{space 2}  1.24526{col 40}{space 1}    2.64{col 49}{space 3}0.008{col 57}{space 4} .8412088{col 70}{space 3} 5.722538
{txt}{space 2}shared_ethnic {c |}{col 17}{res}{space 2} .0938712{col 29}{space 2} .5962563{col 40}{space 1}    0.16{col 49}{space 3}0.875{col 57}{space 4} -1.07477{col 70}{space 3} 1.262512
{txt}{space 6}criminals {c |}{col 17}{res}{space 2} .8800245{col 29}{space 2} .5153326{col 40}{space 1}    1.71{col 49}{space 3}0.088{col 57}{space 4}-.1300089{col 70}{space 3} 1.890058
{txt}{space 7}peasants {c |}{col 17}{res}{space 2} 1.972238{col 29}{space 2} .5174484{col 40}{space 1}    3.81{col 49}{space 3}0.000{col 57}{space 4}  .958058{col 70}{space 3} 2.986418
{txt}{space 3}semiofficial {c |}{col 17}{res}{space 2}-.9842614{col 29}{space 2} .6738796{col 40}{space 1}   -1.46{col 49}{space 3}0.144{col 57}{space 4}-2.305041{col 70}{space 3} .3365183
{txt}jointmembership {c |}{col 17}{res}{space 2}-1.197591{col 29}{space 2} .5583649{col 40}{space 1}   -2.14{col 49}{space 3}0.032{col 57}{space 4}-2.291966{col 70}{space 3} -.103216
{txt}{space 6}contigwar {c |}{col 17}{res}{space 2}-1.861916{col 29}{space 2} .4658372{col 40}{space 1}   -4.00{col 49}{space 3}0.000{col 57}{space 4}-2.774941{col 70}{space 3}-.9488924
{txt}{space 4}lngdpcapnew {c |}{col 17}{res}{space 2}-.4597405{col 29}{space 2} .2209804{col 40}{space 1}   -2.08{col 49}{space 3}0.037{col 57}{space 4}-.8928541{col 70}{space 3}-.0266269
{txt}{space 5}separatist {c |}{col 17}{res}{space 2} -.061696{col 29}{space 2} .4134957{col 40}{space 1}   -0.15{col 49}{space 3}0.881{col 57}{space 4}-.8721328{col 70}{space 3} .7487407
{txt}{space 9}polity {c |}{col 17}{res}{space 2} .0736006{col 29}{space 2} .0320709{col 40}{space 1}    2.29{col 49}{space 3}0.022{col 57}{space 4} .0107428{col 70}{space 3} .1364584
{txt}{space 2}num_militias3 {c |}{col 17}{res}{space 2} .0481679{col 29}{space 2} .0556763{col 40}{space 1}    0.87{col 49}{space 3}0.387{col 57}{space 4}-.0609555{col 70}{space 3} .1572914
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-1.209422{col 29}{space 2}   2.4009{col 40}{space 1}   -0.50{col 49}{space 3}0.614{col 57}{space 4}  -5.9151{col 70}{space 3} 3.496255
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. pre

{txt}Model reduces errors in the prediction of cnew1plus by {res} 65.00%

           {txt}{c |}     Prediction of
           {c |}       cnew1plus
 cnew1plus {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         0 {c |}{res}        99         15 {txt}{c |}{res}       114 
{txt}         1 {c |}{res}        13         67 {txt}{c |}{res}        80 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       112         82 {txt}{c |}{res}       194 

{txt}Model predicts cnew1plus=0 correctly {res}87% {txt}of the time
Model predicts cnew1plus=1 correctly {res}84% {txt}of the time

{com}. logit cnew2plus logtroop rpr shared_ethnic criminal peasant semiofficial jointmembership contigwar lngdpcapnew separatist polity num_militias3, cluster(war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-91.571533}  
Iteration 1:{space 3}log pseudolikelihood = {res:-60.215763}  
Iteration 2:{space 3}log pseudolikelihood = {res:-52.971344}  
Iteration 3:{space 3}log pseudolikelihood = {res:-52.107241}  
Iteration 4:{space 3}log pseudolikelihood = {res:-52.095857}  
Iteration 5:{space 3}log pseudolikelihood = {res:-52.095848}  
Iteration 6:{space 3}log pseudolikelihood = {res:-52.095848}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       194
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     51.26
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-52.095848{txt}{col 49}Pseudo R2{col 67}= {res}    0.4311

{txt}{ralign 81:(Std. Err. adjusted for {res:71} clusters in war_id)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      cnew2plus{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}logtroop {c |}{col 17}{res}{space 2} .9573482{col 29}{space 2}  .353127{col 40}{space 1}    2.71{col 49}{space 3}0.007{col 57}{space 4}  .265232{col 70}{space 3} 1.649464
{txt}{space 12}rpr {c |}{col 17}{res}{space 2} 1.559001{col 29}{space 2} 1.578563{col 40}{space 1}    0.99{col 49}{space 3}0.323{col 57}{space 4}-1.534926{col 70}{space 3} 4.652927
{txt}{space 2}shared_ethnic {c |}{col 17}{res}{space 2}-.7390081{col 29}{space 2}  .856724{col 40}{space 1}   -0.86{col 49}{space 3}0.388{col 57}{space 4}-2.418156{col 70}{space 3} .9401401
{txt}{space 6}criminals {c |}{col 17}{res}{space 2} 1.987828{col 29}{space 2} .9714348{col 40}{space 1}    2.05{col 49}{space 3}0.041{col 57}{space 4} .0838506{col 70}{space 3} 3.891805
{txt}{space 7}peasants {c |}{col 17}{res}{space 2} 2.363914{col 29}{space 2} .6467655{col 40}{space 1}    3.65{col 49}{space 3}0.000{col 57}{space 4} 1.096276{col 70}{space 3} 3.631551
{txt}{space 3}semiofficial {c |}{col 17}{res}{space 2}-1.257696{col 29}{space 2}  .575517{col 40}{space 1}   -2.19{col 49}{space 3}0.029{col 57}{space 4}-2.385689{col 70}{space 3}-.1297036
{txt}jointmembership {c |}{col 17}{res}{space 2} .6822778{col 29}{space 2} .7107767{col 40}{space 1}    0.96{col 49}{space 3}0.337{col 57}{space 4}-.7108189{col 70}{space 3} 2.075375
{txt}{space 6}contigwar {c |}{col 17}{res}{space 2}-.8369863{col 29}{space 2} .7622555{col 40}{space 1}   -1.10{col 49}{space 3}0.272{col 57}{space 4} -2.33098{col 70}{space 3}  .657007
{txt}{space 4}lngdpcapnew {c |}{col 17}{res}{space 2}-.7319432{col 29}{space 2} .3277729{col 40}{space 1}   -2.23{col 49}{space 3}0.026{col 57}{space 4}-1.374366{col 70}{space 3}-.0895201
{txt}{space 5}separatist {c |}{col 17}{res}{space 2}-.6220306{col 29}{space 2} .8838912{col 40}{space 1}   -0.70{col 49}{space 3}0.482{col 57}{space 4}-2.354425{col 70}{space 3} 1.110364
{txt}{space 9}polity {c |}{col 17}{res}{space 2} .0496111{col 29}{space 2} .0461422{col 40}{space 1}    1.08{col 49}{space 3}0.282{col 57}{space 4} -.040826{col 70}{space 3} .1400482
{txt}{space 2}num_militias3 {c |}{col 17}{res}{space 2}-.0169823{col 29}{space 2} .0567569{col 40}{space 1}   -0.30{col 49}{space 3}0.765{col 57}{space 4}-.1282237{col 70}{space 3} .0942591
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-1.655661{col 29}{space 2} 3.598022{col 40}{space 1}   -0.46{col 49}{space 3}0.645{col 57}{space 4}-8.707654{col 70}{space 3} 5.396332
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. pre

{txt}Model reduces errors in the prediction of cnew2plus by {res} 45.71%

           {txt}{c |}     Prediction of
           {c |}       cnew2plus
 cnew2plus {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         0 {c |}{res}       151          8 {txt}{c |}{res}       159 
{txt}         1 {c |}{res}        11         24 {txt}{c |}{res}        35 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       162         32 {txt}{c |}{res}       194 

{txt}Model predicts cnew2plus=0 correctly {res}95% {txt}of the time
Model predicts cnew2plus=1 correctly {res}69% {txt}of the time

{com}. 
. *** Figures: see R-script ***
. 
. *** Appendix ***
. 
. ** Table 1: Summary Statistics **
. sum containment1new logtroop rpr shared_ethnic criminal peasant semiofficial jointmembership contigwar lngdpcapnew separatist polity num_militias3, det

                       {txt}containment1new
{hline 61}
      Percentiles      Smallest
 1%    {res}        1              1
{txt} 5%    {res}        1              1
{txt}10%    {res}        1              1       {txt}Obs         {res}        238
{txt}25%    {res}        1              1       {txt}Sum of Wgt. {res}        238

{txt}50%    {res}        1                      {txt}Mean          {res} 1.554622
                        {txt}Largest       Std. Dev.     {res} .7485286
{txt}75%    {res}        2              3
{txt}90%    {res}        3              3       {txt}Variance      {res}  .560295
{txt}95%    {res}        3              3       {txt}Skewness      {res} .9320837
{txt}99%    {res}        3              3       {txt}Kurtosis      {res}  2.39302

                          {txt}logtroop
{hline 61}
      Percentiles      Smallest
 1%    {res}-.8439701      -1.334594
{txt} 5%    {res} .1455996      -1.334594
{txt}10%    {res} .8399236      -.8439701       {txt}Obs         {res}        232
{txt}25%    {res} 1.217218      -.7486747       {txt}Sum of Wgt. {res}        232

{txt}50%    {res} 2.734156                      {txt}Mean          {res} 3.175869
                        {txt}Largest       Std. Dev.     {res} 2.136772
{txt}75%    {res} 4.888492       6.964883
{txt}90%    {res} 6.223269       6.964883       {txt}Variance      {res} 4.565795
{txt}95%    {res} 6.964883       6.964883       {txt}Skewness      {res} .2676289
{txt}99%    {res} 6.964883       7.375821       {txt}Kurtosis      {res} 2.069527

                             {txt}rpr
{hline 61}
      Percentiles      Smallest
 1%    {res} .2762035       .2762035
{txt} 5%    {res} .3432839       .2762035
{txt}10%    {res} .5520238       .2762035       {txt}Obs         {res}        216
{txt}25%    {res} .8061371       .3432839       {txt}Sum of Wgt. {res}        216

{txt}50%    {res} 1.083272                      {txt}Mean          {res} .9856421
                        {txt}Largest       Std. Dev.     {res} .2958723
{txt}75%    {res}  1.16875       1.515578
{txt}90%    {res} 1.358123        1.51825       {txt}Variance      {res} .0875404
{txt}95%    {res} 1.383845       1.554978       {txt}Skewness      {res}-.4563093
{txt}99%    {res}  1.51825       1.583112       {txt}Kurtosis      {res} 2.637116

                        {txt}shared_ethnic
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}        234
{txt}25%    {res}        0              0       {txt}Sum of Wgt. {res}        234

{txt}50%    {res}        0                      {txt}Mean          {res} .1538462
                        {txt}Largest       Std. Dev.     {res} .3615746
{txt}75%    {res}        0              1
{txt}90%    {res}        1              1       {txt}Variance      {res} .1307362
{txt}95%    {res}        1              1       {txt}Skewness      {res} 1.918806
{txt}99%    {res}        1              1       {txt}Kurtosis      {res} 4.681818

                          {txt}criminals
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}        227
{txt}25%    {res}        0              0       {txt}Sum of Wgt. {res}        227

{txt}50%    {res}        0                      {txt}Mean          {res}  .092511
                        {txt}Largest       Std. Dev.     {res} .2903863
{txt}75%    {res}        0              1
{txt}90%    {res}        0              1       {txt}Variance      {res} .0843242
{txt}95%    {res}        1              1       {txt}Skewness      {res} 2.812733
{txt}99%    {res}        1              1       {txt}Kurtosis      {res} 8.911466

                          {txt}peasants
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}        223
{txt}25%    {res}        0              0       {txt}Sum of Wgt. {res}        223

{txt}50%    {res}        0                      {txt}Mean          {res} .3318386
                        {txt}Largest       Std. Dev.     {res} .4719327
{txt}75%    {res}        1              1
{txt}90%    {res}        1              1       {txt}Variance      {res} .2227205
{txt}95%    {res}        1              1       {txt}Skewness      {res} .7142533
{txt}99%    {res}        1              1       {txt}Kurtosis      {res} 1.510158

                        {txt}semiofficial
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}        238
{txt}25%    {res}        0              0       {txt}Sum of Wgt. {res}        238

{txt}50%    {res}        0                      {txt}Mean          {res} .3823529
                        {txt}Largest       Std. Dev.     {res} .4869863
{txt}75%    {res}        1              1
{txt}90%    {res}        1              1       {txt}Variance      {res} .2371556
{txt}95%    {res}        1              1       {txt}Skewness      {res}  .484182
{txt}99%    {res}        1              1       {txt}Kurtosis      {res} 1.234432

                       {txt}jointmembership
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}        238
{txt}25%    {res}        0              0       {txt}Sum of Wgt. {res}        238

{txt}50%    {res}        0                      {txt}Mean          {res} .1302521
                        {txt}Largest       Std. Dev.     {res} .3372899
{txt}75%    {res}        0              1
{txt}90%    {res}        1              1       {txt}Variance      {res} .1137645
{txt}95%    {res}        1              1       {txt}Skewness      {res} 2.197084
{txt}99%    {res}        1              1       {txt}Kurtosis      {res} 5.827178

                          {txt}contigwar
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}        238
{txt}25%    {res}        0              0       {txt}Sum of Wgt. {res}        238

{txt}50%    {res}        1                      {txt}Mean          {res} .6806723
                        {txt}Largest       Std. Dev.     {res} .4671987
{txt}75%    {res}        1              1
{txt}90%    {res}        1              1       {txt}Variance      {res} .2182747
{txt}95%    {res}        1              1       {txt}Skewness      {res}-.7750579
{txt}99%    {res}        1              1       {txt}Kurtosis      {res} 1.600715

                         {txt}lngdpcapnew
{hline 61}
      Percentiles      Smallest
 1%    {res} 5.499011       5.499011
{txt} 5%    {res} 5.556171       5.499011
{txt}10%    {res} 6.167642       5.499011       {txt}Obs         {res}        238
{txt}25%    {res} 6.981154       5.499011       {txt}Sum of Wgt. {res}        238

{txt}50%    {res} 7.364395                      {txt}Mean          {res} 7.469135
                        {txt}Largest       Std. Dev.     {res} .9833553
{txt}75%    {res} 8.161798       9.935011
{txt}90%    {res} 8.772348       9.935011       {txt}Variance      {res} .9669876
{txt}95%    {res} 8.917053       9.994276       {txt}Skewness      {res} .0263891
{txt}99%    {res} 9.935011       9.994276       {txt}Kurtosis      {res} 2.859594

                         {txt}separatist
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}        238
{txt}25%    {res}        0              0       {txt}Sum of Wgt. {res}        238

{txt}50%    {res}        0                      {txt}Mean          {res} .4537815
                        {txt}Largest       Std. Dev.     {res} .4989085
{txt}75%    {res}        1              1
{txt}90%    {res}        1              1       {txt}Variance      {res} .2489097
{txt}95%    {res}        1              1       {txt}Skewness      {res} .1856689
{txt}99%    {res}        1              1       {txt}Kurtosis      {res} 1.034473

                           {txt}polity
{hline 61}
      Percentiles      Smallest
 1%    {res}       -9             -9
{txt} 5%    {res}       -7             -9
{txt}10%    {res}       -7             -9       {txt}Obs         {res}        238
{txt}25%    {res}       -7             -9       {txt}Sum of Wgt. {res}        238

{txt}50%    {res}        0                      {txt}Mean          {res}-.9117647
                        {txt}Largest       Std. Dev.     {res} 6.004621
{txt}75%    {res}        5              9
{txt}90%    {res}        8              9       {txt}Variance      {res} 36.05547
{txt}95%    {res}        8              9       {txt}Skewness      {res} .3274625
{txt}99%    {res}        9              9       {txt}Kurtosis      {res}  1.58109

                        {txt}num_militias3
{hline 61}
      Percentiles      Smallest
 1%    {res}        1              1
{txt} 5%    {res}        1              1
{txt}10%    {res}        1              1       {txt}Obs         {res}        238
{txt}25%    {res}        2              1       {txt}Sum of Wgt. {res}        238

{txt}50%    {res}        4                      {txt}Mean          {res} 5.806723
                        {txt}Largest       Std. Dev.     {res} 6.077943
{txt}75%    {res}        6             22
{txt}90%    {res}       16             22       {txt}Variance      {res} 36.94139
{txt}95%    {res}       22             22       {txt}Skewness      {res} 1.787046
{txt}99%    {res}       22             22       {txt}Kurtosis      {res} 4.897419
{txt}
{com}. 
. ** Table 2: Correlation Matrix **
. cor logtroop rpr shared_ethnic criminal peasant semiofficial jointmembership contigwar lngdpcapnew separatist polity num_militias3
{txt}(obs=194)

             {c |} logtroop      rpr shared~c crimin~s peasants semiof~l jointm~p contig~r
{hline 13}{c +}{hline 72}
    logtroop {c |}{res}   1.0000
         {txt}rpr {c |}{res}   0.1895   1.0000
{txt}shared_eth~c {c |}{res}  -0.1023  -0.2148   1.0000
   {txt}criminals {c |}{res}   0.0931   0.0451  -0.0597   1.0000
    {txt}peasants {c |}{res}   0.2181   0.1193  -0.1236  -0.0375   1.0000
{txt}semiofficial {c |}{res}   0.3097   0.1472  -0.1839   0.0535   0.4888   1.0000
{txt}jointmembe~p {c |}{res}   0.0288  -0.0393   0.0220   0.1110  -0.1083   0.0521   1.0000
   {txt}contigwar {c |}{res}  -0.4572  -0.1359   0.1041  -0.0376  -0.0313  -0.0479   0.1736   1.0000
 {txt}lngdpcapnew {c |}{res}   0.3426  -0.2760   0.0319   0.0340   0.0297   0.1894   0.0429  -0.2990
  {txt}separatist {c |}{res}   0.6737   0.3259  -0.0940   0.0717   0.2004   0.2349  -0.0846  -0.4635
      {txt}polity {c |}{res}   0.0213   0.0342  -0.0789  -0.0738   0.1909   0.1336  -0.0930  -0.0417
{txt}num_militi~3 {c |}{res}   0.2699   0.0385  -0.0556   0.0883  -0.1508  -0.1829   0.0295  -0.4191

             {txt}{c |} lngdpc~w separa~t   polity num_mi~3
{hline 13}{c +}{hline 36}
 lngdpcapnew {c |}{res}   1.0000
  {txt}separatist {c |}{res}   0.2908   1.0000
      {txt}polity {c |}{res}   0.2475   0.0311   1.0000
{txt}num_militi~3 {c |}{res}  -0.0874   0.2007  -0.4036   1.0000

{txt}
{com}. 
. ** Table 3: Multinomial Logit- De Jure and De Facto **
. mlogit containment1new semiofficial, base(1) vce(cluster war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-223.60398}  
Iteration 1:{space 3}log pseudolikelihood = {res:-218.56613}  
Iteration 2:{space 3}log pseudolikelihood = {res:-218.55899}  
Iteration 3:{space 3}log pseudolikelihood = {res:-218.55899}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       238
{txt}{col 49}Wald chi2({res}2{txt}){col 67}= {res}      8.36
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0153
{txt}Log pseudolikelihood = {res}-218.55899{txt}{col 49}Pseudo R2{col 67}= {res}    0.0226

{txt}{ralign 78:(Std. Err. adjusted for {res:87} clusters in war_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}containmen~w{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}1           {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
semiofficial {c |}{col 14}{res}{space 2} .8439701{col 26}{space 2}  .315038{col 37}{space 1}    2.68{col 46}{space 3}0.007{col 54}{space 4} .2265069{col 67}{space 3} 1.461433
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.237874{col 26}{space 2} .3183506{col 37}{space 1}   -3.89{col 46}{space 3}0.000{col 54}{space 4} -1.86183{col 67}{space 3}-.6139187
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
semiofficial {c |}{col 14}{res}{space 2} .8980373{col 26}{space 2} .5701665{col 37}{space 1}    1.58{col 46}{space 3}0.115{col 54}{space 4}-.2194685{col 67}{space 3} 2.015543
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.714798{col 26}{space 2} .6523214{col 37}{space 1}   -2.63{col 46}{space 3}0.009{col 54}{space 4}-2.993325{col 67}{space 3} -.436272
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. ** Table 4: Bivariate Results and Orginal Logits **
. logit cnew1plus logtroop, cluster(war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-156.61235}  
Iteration 1:{space 3}log pseudolikelihood = {res: -131.8205}  
Iteration 2:{space 3}log pseudolikelihood = {res:-131.69434}  
Iteration 3:{space 3}log pseudolikelihood = {res:-131.69429}  
Iteration 4:{space 3}log pseudolikelihood = {res:-131.69429}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       232
{txt}{col 49}Wald chi2({res}1{txt}){col 67}= {res}     15.08
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0001
{txt}Log pseudolikelihood = {res}-131.69429{txt}{col 49}Pseudo R2{col 67}= {res}    0.1591

{txt}{ralign 78:(Std. Err. adjusted for {res:82} clusters in war_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   cnew1plus{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}logtroop {c |}{col 14}{res}{space 2} .4916442{col 26}{space 2} .1266024{col 37}{space 1}    3.88{col 46}{space 3}0.000{col 54}{space 4} .2435081{col 67}{space 3} .7397803
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.020547{col 26}{space 2} .4910137{col 37}{space 1}   -4.12{col 46}{space 3}0.000{col 54}{space 4}-2.982916{col 67}{space 3}-1.058178
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit cnew2plus logtroop, cluster(war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-100.12592}  
Iteration 1:{space 3}log pseudolikelihood = {res:-76.279584}  
Iteration 2:{space 3}log pseudolikelihood = {res:  -71.6041}  
Iteration 3:{space 3}log pseudolikelihood = {res:-71.451209}  
Iteration 4:{space 3}log pseudolikelihood = {res:-71.451187}  
Iteration 5:{space 3}log pseudolikelihood = {res:-71.451187}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       232
{txt}{col 49}Wald chi2({res}1{txt}){col 67}= {res}     23.24
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-71.451187{txt}{col 49}Pseudo R2{col 67}= {res}    0.2864

{txt}{ralign 78:(Std. Err. adjusted for {res:82} clusters in war_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   cnew2plus{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}logtroop {c |}{col 14}{res}{space 2} .7737674{col 26}{space 2}  .160501{col 37}{space 1}    4.82{col 46}{space 3}0.000{col 54}{space 4} .4591912{col 67}{space 3} 1.088344
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-4.976546{col 26}{space 2} .8962959{col 37}{space 1}   -5.55{col 46}{space 3}0.000{col 54}{space 4}-6.733253{col 67}{space 3}-3.219838
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit cnew1plus rpr, cluster(war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-147.34067}  
Iteration 1:{space 3}log pseudolikelihood = {res:-132.27848}  
Iteration 2:{space 3}log pseudolikelihood = {res:-132.17057}  
Iteration 3:{space 3}log pseudolikelihood = {res:-132.17051}  
Iteration 4:{space 3}log pseudolikelihood = {res:-132.17051}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       216
{txt}{col 49}Wald chi2({res}1{txt}){col 67}= {res}      8.82
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0030
{txt}Log pseudolikelihood = {res}-132.17051{txt}{col 49}Pseudo R2{col 67}= {res}    0.1030

{txt}{ralign 78:(Std. Err. adjusted for {res:76} clusters in war_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   cnew1plus{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}rpr {c |}{col 14}{res}{space 2} 2.893871{col 26}{space 2} .9746754{col 37}{space 1}    2.97{col 46}{space 3}0.003{col 54}{space 4} .9835422{col 67}{space 3}   4.8042
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.217349{col 26}{space 2} .9326091{col 37}{space 1}   -3.45{col 46}{space 3}0.001{col 54}{space 4}-5.045229{col 67}{space 3}-1.389469
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit cnew2plus rpr, cluster(war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-98.914114}  
Iteration 1:{space 3}log pseudolikelihood = {res:-94.495702}  
Iteration 2:{space 3}log pseudolikelihood = {res:-94.317632}  
Iteration 3:{space 3}log pseudolikelihood = {res:-94.317413}  
Iteration 4:{space 3}log pseudolikelihood = {res:-94.317413}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       216
{txt}{col 49}Wald chi2({res}1{txt}){col 67}= {res}      6.15
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0132
{txt}Log pseudolikelihood = {res}-94.317413{txt}{col 49}Pseudo R2{col 67}= {res}    0.0465

{txt}{ralign 78:(Std. Err. adjusted for {res:76} clusters in war_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   cnew2plus{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}rpr {c |}{col 14}{res}{space 2} 2.044019{col 26}{space 2} .8243873{col 37}{space 1}    2.48{col 46}{space 3}0.013{col 54}{space 4} .4282495{col 67}{space 3} 3.659788
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.703763{col 26}{space 2} .8237689{col 37}{space 1}   -4.50{col 46}{space 3}0.000{col 54}{space 4} -5.31832{col 67}{space 3}-2.089205
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. ologit containment1new logtroop rpr, cluster(war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-205.89563}  
Iteration 1:{space 3}log pseudolikelihood = {res:-165.99834}  
Iteration 2:{space 3}log pseudolikelihood = {res:-163.91614}  
Iteration 3:{space 3}log pseudolikelihood = {res: -163.9052}  
Iteration 4:{space 3}log pseudolikelihood = {res: -163.9052}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       212
{txt}{col 49}Wald chi2({res}2{txt}){col 67}= {res}     34.40
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -163.9052{txt}{col 49}Pseudo R2{col 67}= {res}    0.2039

{txt}{ralign 81:(Std. Err. adjusted for {res:72} clusters in war_id)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}containment1new{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}logtroop {c |}{col 17}{res}{space 2}  .533368{col 29}{space 2} .1051099{col 40}{space 1}    5.07{col 49}{space 3}0.000{col 57}{space 4} .3273564{col 70}{space 3} .7393797
{txt}{space 12}rpr {c |}{col 17}{res}{space 2} 2.708004{col 29}{space 2} .7867093{col 40}{space 1}    3.44{col 49}{space 3}0.001{col 57}{space 4} 1.166082{col 70}{space 3} 4.249926
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          /cut1 {c |}{col 17}{res}{space 2} 4.825865{col 29}{space 2}  .950473{col 57}{space 4} 2.962972{col 70}{space 3} 6.688758
{txt}          /cut2 {c |}{col 17}{res}{space 2} 6.659219{col 29}{space 2} 1.030677{col 57}{space 4}  4.63913{col 70}{space 3} 8.679308
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. brant, detail

{txt}Estimated coefficients from j-1 binary regressions

                 y>1         y>2
logtroop  {res} .46176947   .71331258
{txt}     rpr  {res}  2.816502   1.8712885
{txt}   _cons  {res}-4.7221333  -6.6347772

{txt}Brant Test of Parallel Regression Assumption

    Variable {c |}      chi2   p>chi2    df
{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c +}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}
         All {c |}{res}      4.93    0.085     2
{txt}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c +}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}
    logtroop{col 14}{c |}{res}      3.80    0.051     1
         {txt}rpr{col 14}{c |}{res}      1.14    0.285     1
{txt}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c BT}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}

A significant test statistic provides evidence that the parallel
regression assumption has been violated.

{com}. ologit containment1new logtroop rpr shared_ethnic criminal peasant semiofficial jointmembership, cluster(war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-186.30087}  
Iteration 1:{space 3}log pseudolikelihood = {res:-137.09081}  
Iteration 2:{space 3}log pseudolikelihood = {res:-132.98846}  
Iteration 3:{space 3}log pseudolikelihood = {res:-132.93969}  
Iteration 4:{space 3}log pseudolikelihood = {res:-132.93965}  
Iteration 5:{space 3}log pseudolikelihood = {res:-132.93965}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       194
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}     76.95
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-132.93965{txt}{col 49}Pseudo R2{col 67}= {res}    0.2864

{txt}{ralign 81:(Std. Err. adjusted for {res:71} clusters in war_id)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}containment1new{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}logtroop {c |}{col 17}{res}{space 2} .5931997{col 29}{space 2} .1166018{col 40}{space 1}    5.09{col 49}{space 3}0.000{col 57}{space 4} .3646643{col 70}{space 3}  .821735
{txt}{space 12}rpr {c |}{col 17}{res}{space 2} 2.970425{col 29}{space 2} .7957896{col 40}{space 1}    3.73{col 49}{space 3}0.000{col 57}{space 4} 1.410706{col 70}{space 3} 4.530144
{txt}{space 2}shared_ethnic {c |}{col 17}{res}{space 2}-.1841971{col 29}{space 2} .5331394{col 40}{space 1}   -0.35{col 49}{space 3}0.730{col 57}{space 4}-1.229131{col 70}{space 3}  .860737
{txt}{space 6}criminals {c |}{col 17}{res}{space 2} 1.219771{col 29}{space 2} .6300035{col 40}{space 1}    1.94{col 49}{space 3}0.053{col 57}{space 4} -.015013{col 70}{space 3} 2.454556
{txt}{space 7}peasants {c |}{col 17}{res}{space 2} 1.967653{col 29}{space 2} .3555424{col 40}{space 1}    5.53{col 49}{space 3}0.000{col 57}{space 4} 1.270803{col 70}{space 3} 2.664503
{txt}{space 3}semiofficial {c |}{col 17}{res}{space 2}-1.227329{col 29}{space 2} .3906408{col 40}{space 1}   -3.14{col 49}{space 3}0.002{col 57}{space 4}-1.992971{col 70}{space 3} -.461687
{txt}jointmembership {c |}{col 17}{res}{space 2}-1.201553{col 29}{space 2} .6411851{col 40}{space 1}   -1.87{col 49}{space 3}0.061{col 57}{space 4}-2.458252{col 70}{space 3} .0551468
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          /cut1 {c |}{col 17}{res}{space 2} 5.613118{col 29}{space 2} 1.114993{col 57}{space 4} 3.427771{col 70}{space 3} 7.798464
{txt}          /cut2 {c |}{col 17}{res}{space 2} 7.500323{col 29}{space 2} 1.200152{col 57}{space 4} 5.148069{col 70}{space 3} 9.852577
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. brant, detail

{txt}Estimated coefficients from j-1 binary regressions

                        y>1         y>2
       logtroop  {res}  .5318106   .77870602
{txt}            rpr  {res} 3.1370713    1.982796
{txt}  shared_ethnic  {res}-.14465307  -.47497907
{txt}      criminals  {res} .72813498   1.9091991
{txt}       peasants  {res} 1.6973651   2.5244007
{txt}   semiofficial  {res}-1.1464667  -1.4280293
{txt}jointmembership  {res}-1.7395808   .36560117
{txt}          _cons  {res}-5.4633551  -7.6850084

{txt}Brant Test of Parallel Regression Assumption

    Variable {c |}      chi2   p>chi2    df
{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c +}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}
         All {c |}{res}    158.36    0.000     7
{txt}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c +}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}
    logtroop{col 14}{c |}{res}      2.46    0.116     1
         {txt}rpr{col 14}{c |}{res}      1.28    0.259     1
{txt}shared_eth~c{col 14}{c |}{res}      0.15    0.695     1
   {txt}criminals{col 14}{c |}{res}      2.65    0.104     1
    {txt}peasants{col 14}{c |}{res}      1.64    0.200     1
{txt}semiofficial{col 14}{c |}{res}      0.20    0.654     1
{txt}jointmembe~p{col 14}{c |}{res}     51.17    0.000     1
{txt}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c BT}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}

A significant test statistic provides evidence that the parallel
regression assumption has been violated.

{com}. ologit containment1new logtroop rpr shared_ethnic criminal peasant semiofficial jointmembership contigwar lngdpcapnew separatist polity num_militias3, cluster(war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-186.30087}  
Iteration 1:{space 3}log pseudolikelihood = {res:-129.91201}  
Iteration 2:{space 3}log pseudolikelihood = {res:-123.46613}  
Iteration 3:{space 3}log pseudolikelihood = {res:-123.13346}  
Iteration 4:{space 3}log pseudolikelihood = {res: -123.1329}  
Iteration 5:{space 3}log pseudolikelihood = {res: -123.1329}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       194
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     90.60
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -123.1329{txt}{col 49}Pseudo R2{col 67}= {res}    0.3391

{txt}{ralign 81:(Std. Err. adjusted for {res:71} clusters in war_id)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}containment1new{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}logtroop {c |}{col 17}{res}{space 2} .5973895{col 29}{space 2}  .172831{col 40}{space 1}    3.46{col 49}{space 3}0.001{col 57}{space 4}  .258647{col 70}{space 3}  .936132
{txt}{space 12}rpr {c |}{col 17}{res}{space 2} 2.820378{col 29}{space 2} 1.096888{col 40}{space 1}    2.57{col 49}{space 3}0.010{col 57}{space 4} .6705158{col 70}{space 3}  4.97024
{txt}{space 2}shared_ethnic {c |}{col 17}{res}{space 2}-.0596885{col 29}{space 2} .5385294{col 40}{space 1}   -0.11{col 49}{space 3}0.912{col 57}{space 4}-1.115187{col 70}{space 3} .9958097
{txt}{space 6}criminals {c |}{col 17}{res}{space 2} 1.357476{col 29}{space 2} .7363152{col 40}{space 1}    1.84{col 49}{space 3}0.065{col 57}{space 4}-.0856753{col 70}{space 3} 2.800627
{txt}{space 7}peasants {c |}{col 17}{res}{space 2} 2.019158{col 29}{space 2} .3953446{col 40}{space 1}    5.11{col 49}{space 3}0.000{col 57}{space 4} 1.244297{col 70}{space 3} 2.794019
{txt}{space 3}semiofficial {c |}{col 17}{res}{space 2}-1.000908{col 29}{space 2} .4434321{col 40}{space 1}   -2.26{col 49}{space 3}0.024{col 57}{space 4}-1.870019{col 70}{space 3}-.1317965
{txt}jointmembership {c |}{col 17}{res}{space 2}-.5619281{col 29}{space 2} .7159787{col 40}{space 1}   -0.78{col 49}{space 3}0.433{col 57}{space 4}-1.965221{col 70}{space 3} .8413643
{txt}{space 6}contigwar {c |}{col 17}{res}{space 2}-1.556166{col 29}{space 2} .4641454{col 40}{space 1}   -3.35{col 49}{space 3}0.001{col 57}{space 4}-2.465874{col 70}{space 3}-.6464578
{txt}{space 4}lngdpcapnew {c |}{col 17}{res}{space 2}-.6070229{col 29}{space 2}  .244456{col 40}{space 1}   -2.48{col 49}{space 3}0.013{col 57}{space 4}-1.086148{col 70}{space 3}-.1278979
{txt}{space 5}separatist {c |}{col 17}{res}{space 2}-.0270738{col 29}{space 2} .4325572{col 40}{space 1}   -0.06{col 49}{space 3}0.950{col 57}{space 4}-.8748703{col 70}{space 3} .8207228
{txt}{space 9}polity {c |}{col 17}{res}{space 2} .0731567{col 29}{space 2} .0352453{col 40}{space 1}    2.08{col 49}{space 3}0.038{col 57}{space 4} .0040771{col 70}{space 3} .1422362
{txt}{space 2}num_militias3 {c |}{col 17}{res}{space 2} .0021656{col 29}{space 2} .0343797{col 40}{space 1}    0.06{col 49}{space 3}0.950{col 57}{space 4}-.0652173{col 70}{space 3} .0695485
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          /cut1 {c |}{col 17}{res}{space 2} .1844346{col 29}{space 2} 2.317837{col 57}{space 4}-4.358443{col 70}{space 3} 4.727312
{txt}          /cut2 {c |}{col 17}{res}{space 2} 2.258254{col 29}{space 2} 2.317655{col 57}{space 4}-2.284267{col 70}{space 3} 6.800774
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. brant, detail

{txt}Estimated coefficients from j-1 binary regressions

                        y>1         y>2
       logtroop  {res} .45474975    .9573482
{txt}            rpr  {res} 3.2818732   1.5590008
{txt}  shared_ethnic  {res} .09387116  -.73900806
{txt}      criminals  {res} .88002449   1.9878278
{txt}       peasants  {res} 1.9722382   2.3639136
{txt}   semiofficial  {res}-.98426139  -1.2576962
{txt}jointmembership  {res} -1.197591   .68227783
{txt}      contigwar  {res}-1.8619165  -.83698635
{txt}    lngdpcapnew  {res}-.45974047  -.73194317
{txt}     separatist  {res}-.06169603   -.6220306
{txt}         polity  {res} .07360059   .04961112
{txt}  num_militias3  {res} .04816794  -.01698228
{txt}          _cons  {res}-1.2094224  -1.6556613

{txt}Brant Test of Parallel Regression Assumption

    Variable {c |}      chi2   p>chi2    df
{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c +}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}
         All {c |}{res}   -145.03    1.000    12
{txt}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c +}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}
    logtroop{col 14}{c |}{res}      4.17    0.041     1
         {txt}rpr{col 14}{c |}{res}      2.17    0.141     1
{txt}shared_eth~c{col 14}{c |}{res}      0.79    0.373     1
   {txt}criminals{col 14}{c |}{res}      1.61    0.205     1
    {txt}peasants{col 14}{c |}{res}      0.30    0.581     1
{txt}semiofficial{col 14}{c |}{res}      0.13    0.716     1
{txt}jointmembe~p{col 14}{c |}{res}     19.32    0.000     1
   {txt}contigwar{col 14}{c |}{res}      1.46    0.227     1
 {txt}lngdpcapnew{col 14}{c |}{res}      0.53    0.468     1
  {txt}separatist{col 14}{c |}{res}      0.50    0.480     1
      {txt}polity{col 14}{c |}{res}      0.25    0.614     1
{txt}num_militi~3{col 14}{c |}{res}      0.96    0.328     1
{txt}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c BT}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}

A significant test statistic provides evidence that the parallel
regression assumption has been violated.

{com}. 
. ** Table 5: Ordered Binary Logits- Additional Controls **
. logit cnew1plus logtroop rpr shared_ethnic criminal peasant semiofficial jointmembership foreignsupp, cluster(war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-115.48824}  
Iteration 1:{space 3}log pseudolikelihood = {res:-76.814333}  
Iteration 2:{space 3}log pseudolikelihood = {res:-74.943468}  
Iteration 3:{space 3}log pseudolikelihood = {res:-74.918649}  
Iteration 4:{space 3}log pseudolikelihood = {res:-74.918632}  
Iteration 5:{space 3}log pseudolikelihood = {res:-74.918632}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       174
{txt}{col 49}Wald chi2({res}8{txt}){col 67}= {res}     46.71
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-74.918632{txt}{col 49}Pseudo R2{col 67}= {res}    0.3513

{txt}{ralign 81:(Std. Err. adjusted for {res:70} clusters in war_id)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      cnew1plus{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}logtroop {c |}{col 17}{res}{space 2} .5441538{col 29}{space 2} .1795718{col 40}{space 1}    3.03{col 49}{space 3}0.002{col 57}{space 4} .1921995{col 70}{space 3} .8961081
{txt}{space 12}rpr {c |}{col 17}{res}{space 2} 3.188902{col 29}{space 2} 1.087508{col 40}{space 1}    2.93{col 49}{space 3}0.003{col 57}{space 4} 1.057425{col 70}{space 3} 5.320378
{txt}{space 2}shared_ethnic {c |}{col 17}{res}{space 2} .3907821{col 29}{space 2} .5757414{col 40}{space 1}    0.68{col 49}{space 3}0.497{col 57}{space 4}-.7376504{col 70}{space 3} 1.519215
{txt}{space 6}criminals {c |}{col 17}{res}{space 2} .9022019{col 29}{space 2} .5354306{col 40}{space 1}    1.69{col 49}{space 3}0.092{col 57}{space 4}-.1472227{col 70}{space 3} 1.951627
{txt}{space 7}peasants {c |}{col 17}{res}{space 2} 1.840472{col 29}{space 2} .4802201{col 40}{space 1}    3.83{col 49}{space 3}0.000{col 57}{space 4} .8992578{col 70}{space 3} 2.781686
{txt}{space 3}semiofficial {c |}{col 17}{res}{space 2} -.944876{col 29}{space 2} .5115675{col 40}{space 1}   -1.85{col 49}{space 3}0.065{col 57}{space 4} -1.94753{col 70}{space 3} .0577779
{txt}jointmembership {c |}{col 17}{res}{space 2}-1.665663{col 29}{space 2} .5437676{col 40}{space 1}   -3.06{col 49}{space 3}0.002{col 57}{space 4}-2.731428{col 70}{space 3}-.5998977
{txt}{space 4}foreignsupp {c |}{col 17}{res}{space 2}-.4276364{col 29}{space 2} .9080215{col 40}{space 1}   -0.47{col 49}{space 3}0.638{col 57}{space 4}-2.207326{col 70}{space 3} 1.352053
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-5.932275{col 29}{space 2} 1.528523{col 40}{space 1}   -3.88{col 49}{space 3}0.000{col 57}{space 4}-8.928125{col 70}{space 3}-2.936426
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit cnew1plus logtroop rpr shared_ethnic criminal peasant semiofficial jointmembership contigwar lngdpcapnew separatist polity num_militias3 foreignsupp, cluster(war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-115.48824}  
Iteration 1:{space 3}log pseudolikelihood = {res:-70.341213}  
Iteration 2:{space 3}log pseudolikelihood = {res:-68.198374}  
Iteration 3:{space 3}log pseudolikelihood = {res:-68.147073}  
Iteration 4:{space 3}log pseudolikelihood = {res:-68.146938}  
Iteration 5:{space 3}log pseudolikelihood = {res:-68.146938}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       174
{txt}{col 49}Wald chi2({res}13{txt}){col 67}= {res}     46.87
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-68.146938{txt}{col 49}Pseudo R2{col 67}= {res}    0.4099

{txt}{ralign 81:(Std. Err. adjusted for {res:70} clusters in war_id)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      cnew1plus{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}logtroop {c |}{col 17}{res}{space 2} .5030775{col 29}{space 2} .1953551{col 40}{space 1}    2.58{col 49}{space 3}0.010{col 57}{space 4} .1201885{col 70}{space 3} .8859664
{txt}{space 12}rpr {c |}{col 17}{res}{space 2}  3.26435{col 29}{space 2} 1.342822{col 40}{space 1}    2.43{col 49}{space 3}0.015{col 57}{space 4} .6324661{col 70}{space 3} 5.896233
{txt}{space 2}shared_ethnic {c |}{col 17}{res}{space 2} .6449107{col 29}{space 2} .5526667{col 40}{space 1}    1.17{col 49}{space 3}0.243{col 57}{space 4}-.4382962{col 70}{space 3} 1.728117
{txt}{space 6}criminals {c |}{col 17}{res}{space 2} .9876448{col 29}{space 2} .5348844{col 40}{space 1}    1.85{col 49}{space 3}0.065{col 57}{space 4}-.0607094{col 70}{space 3} 2.035999
{txt}{space 7}peasants {c |}{col 17}{res}{space 2} 2.080788{col 29}{space 2} .5773291{col 40}{space 1}    3.60{col 49}{space 3}0.000{col 57}{space 4} .9492435{col 70}{space 3} 3.212332
{txt}{space 3}semiofficial {c |}{col 17}{res}{space 2}-.6579065{col 29}{space 2} .6191176{col 40}{space 1}   -1.06{col 49}{space 3}0.288{col 57}{space 4}-1.871355{col 70}{space 3} .5555417
{txt}jointmembership {c |}{col 17}{res}{space 2}-1.285853{col 29}{space 2} .6856827{col 40}{space 1}   -1.88{col 49}{space 3}0.061{col 57}{space 4}-2.629767{col 70}{space 3}   .05806
{txt}{space 6}contigwar {c |}{col 17}{res}{space 2}-1.532498{col 29}{space 2} .5817055{col 40}{space 1}   -2.63{col 49}{space 3}0.008{col 57}{space 4} -2.67262{col 70}{space 3}-.3923761
{txt}{space 4}lngdpcapnew {c |}{col 17}{res}{space 2}-.3910569{col 29}{space 2} .2148488{col 40}{space 1}   -1.82{col 49}{space 3}0.069{col 57}{space 4}-.8121528{col 70}{space 3} .0300389
{txt}{space 5}separatist {c |}{col 17}{res}{space 2}-.3754521{col 29}{space 2}  .488637{col 40}{space 1}   -0.77{col 49}{space 3}0.442{col 57}{space 4}-1.333163{col 70}{space 3} .5822587
{txt}{space 9}polity {c |}{col 17}{res}{space 2} .0540783{col 29}{space 2} .0355321{col 40}{space 1}    1.52{col 49}{space 3}0.128{col 57}{space 4}-.0155634{col 70}{space 3}   .12372
{txt}{space 2}num_militias3 {c |}{col 17}{res}{space 2} .0609359{col 29}{space 2} .0576292{col 40}{space 1}    1.06{col 49}{space 3}0.290{col 57}{space 4}-.0520154{col 70}{space 3} .1738871
{txt}{space 4}foreignsupp {c |}{col 17}{res}{space 2} .2606953{col 29}{space 2} .9526276{col 40}{space 1}    0.27{col 49}{space 3}0.784{col 57}{space 4} -1.60642{col 70}{space 3} 2.127811
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-2.444936{col 29}{space 2} 2.427098{col 40}{space 1}   -1.01{col 49}{space 3}0.314{col 57}{space 4} -7.20196{col 70}{space 3} 2.312088
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. logit cnew1plus logtroop rpr shared_ethnic criminal peasant semiofficial jointmembership logbdeath duration guerrilla, cluster(war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-117.81048}  
Iteration 1:{space 3}log pseudolikelihood = {res:-75.493018}  
Iteration 2:{space 3}log pseudolikelihood = {res:-74.485366}  
Iteration 3:{space 3}log pseudolikelihood = {res:-74.481814}  
Iteration 4:{space 3}log pseudolikelihood = {res:-74.481814}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       172
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}     66.79
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-74.481814{txt}{col 49}Pseudo R2{col 67}= {res}    0.3678

{txt}{ralign 81:(Std. Err. adjusted for {res:60} clusters in war_id)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      cnew1plus{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}logtroop {c |}{col 17}{res}{space 2} .5458326{col 29}{space 2} .1691075{col 40}{space 1}    3.23{col 49}{space 3}0.001{col 57}{space 4}  .214388{col 70}{space 3} .8772772
{txt}{space 12}rpr {c |}{col 17}{res}{space 2} 2.437718{col 29}{space 2} 1.169905{col 40}{space 1}    2.08{col 49}{space 3}0.037{col 57}{space 4} .1447465{col 70}{space 3}  4.73069
{txt}{space 2}shared_ethnic {c |}{col 17}{res}{space 2}-.3727919{col 29}{space 2} .6778838{col 40}{space 1}   -0.55{col 49}{space 3}0.582{col 57}{space 4} -1.70142{col 70}{space 3} .9558359
{txt}{space 6}criminals {c |}{col 17}{res}{space 2} 1.064117{col 29}{space 2}  .463072{col 40}{space 1}    2.30{col 49}{space 3}0.022{col 57}{space 4} .1565124{col 70}{space 3} 1.971721
{txt}{space 7}peasants {c |}{col 17}{res}{space 2} 1.760837{col 29}{space 2} .4632283{col 40}{space 1}    3.80{col 49}{space 3}0.000{col 57}{space 4} .8529259{col 70}{space 3} 2.668748
{txt}{space 3}semiofficial {c |}{col 17}{res}{space 2}-.9065989{col 29}{space 2} .5528618{col 40}{space 1}   -1.64{col 49}{space 3}0.101{col 57}{space 4}-1.990188{col 70}{space 3} .1769902
{txt}jointmembership {c |}{col 17}{res}{space 2}-2.116702{col 29}{space 2} .5464829{col 40}{space 1}   -3.87{col 49}{space 3}0.000{col 57}{space 4}-3.187789{col 70}{space 3}-1.045616
{txt}{space 6}logbdeath {c |}{col 17}{res}{space 2}-.0529304{col 29}{space 2}  .201643{col 40}{space 1}   -0.26{col 49}{space 3}0.793{col 57}{space 4}-.4481434{col 70}{space 3} .3422826
{txt}{space 7}duration {c |}{col 17}{res}{space 2} .0226131{col 29}{space 2} .0242409{col 40}{space 1}    0.93{col 49}{space 3}0.351{col 57}{space 4}-.0248983{col 70}{space 3} .0701245
{txt}{space 6}guerrilla {c |}{col 17}{res}{space 2}-.0159723{col 29}{space 2} .7532383{col 40}{space 1}   -0.02{col 49}{space 3}0.983{col 57}{space 4}-1.492292{col 70}{space 3} 1.460348
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-4.587397{col 29}{space 2} 2.618089{col 40}{space 1}   -1.75{col 49}{space 3}0.080{col 57}{space 4}-9.718757{col 70}{space 3} .5439627
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit cnew2plus logtroop rpr shared_ethnic criminal peasant semiofficial jointmembership logbdeath duration guerrilla, cluster(war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-86.894481}  
Iteration 1:{space 3}log pseudolikelihood = {res: -56.82923}  
Iteration 2:{space 3}log pseudolikelihood = {res:-50.808424}  
Iteration 3:{space 3}log pseudolikelihood = {res:-50.548078}  
Iteration 4:{space 3}log pseudolikelihood = {res:-50.547735}  
Iteration 5:{space 3}log pseudolikelihood = {res:-50.547735}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       172
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}     47.95
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-50.547735{txt}{col 49}Pseudo R2{col 67}= {res}    0.4183

{txt}{ralign 81:(Std. Err. adjusted for {res:60} clusters in war_id)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      cnew2plus{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}logtroop {c |}{col 17}{res}{space 2} .7911354{col 29}{space 2} .1833559{col 40}{space 1}    4.31{col 49}{space 3}0.000{col 57}{space 4} .4317645{col 70}{space 3} 1.150506
{txt}{space 12}rpr {c |}{col 17}{res}{space 2} 1.100768{col 29}{space 2} 1.494033{col 40}{space 1}    0.74{col 49}{space 3}0.461{col 57}{space 4}-1.827484{col 70}{space 3}  4.02902
{txt}{space 2}shared_ethnic {c |}{col 17}{res}{space 2}-.4293842{col 29}{space 2} .8664499{col 40}{space 1}   -0.50{col 49}{space 3}0.620{col 57}{space 4}-2.127595{col 70}{space 3} 1.268826
{txt}{space 6}criminals {c |}{col 17}{res}{space 2} 1.759253{col 29}{space 2} .8857342{col 40}{space 1}    1.99{col 49}{space 3}0.047{col 57}{space 4} .0232463{col 70}{space 3} 3.495261
{txt}{space 7}peasants {c |}{col 17}{res}{space 2} 2.409487{col 29}{space 2} .8522183{col 40}{space 1}    2.83{col 49}{space 3}0.005{col 57}{space 4} .7391698{col 70}{space 3} 4.079804
{txt}{space 3}semiofficial {c |}{col 17}{res}{space 2}-1.370615{col 29}{space 2} .4364057{col 40}{space 1}   -3.14{col 49}{space 3}0.002{col 57}{space 4}-2.225954{col 70}{space 3}-.5152751
{txt}jointmembership {c |}{col 17}{res}{space 2} .1965312{col 29}{space 2} .6658328{col 40}{space 1}    0.30{col 49}{space 3}0.768{col 57}{space 4}-1.108477{col 70}{space 3} 1.501539
{txt}{space 6}logbdeath {c |}{col 17}{res}{space 2}-.1044493{col 29}{space 2} .2379371{col 40}{space 1}   -0.44{col 49}{space 3}0.661{col 57}{space 4}-.5707974{col 70}{space 3} .3618988
{txt}{space 7}duration {c |}{col 17}{res}{space 2} .0107013{col 29}{space 2}   .02003{col 40}{space 1}    0.53{col 49}{space 3}0.593{col 57}{space 4}-.0285569{col 70}{space 3} .0499594
{txt}{space 6}guerrilla {c |}{col 17}{res}{space 2} .1270449{col 29}{space 2} .9005947{col 40}{space 1}    0.14{col 49}{space 3}0.888{col 57}{space 4}-1.638088{col 70}{space 3} 1.892178
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-5.855357{col 29}{space 2} 3.894169{col 40}{space 1}   -1.50{col 49}{space 3}0.133{col 57}{space 4}-13.48779{col 70}{space 3} 1.777074
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. logit cnew1plus logtroop rpr shared_ethnic criminal peasant semiofficial jointmembership contigwar lngdpcapnew separatist polity num_militias3 logbdeath duration guerrilla, cluster(war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-117.81048}  
Iteration 1:{space 3}log pseudolikelihood = {res:-67.424248}  
Iteration 2:{space 3}log pseudolikelihood = {res:-65.309831}  
Iteration 3:{space 3}log pseudolikelihood = {res:-65.253159}  
Iteration 4:{space 3}log pseudolikelihood = {res:-65.253135}  
Iteration 5:{space 3}log pseudolikelihood = {res:-65.253135}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       172
{txt}{col 49}Wald chi2({res}15{txt}){col 67}= {res}     80.06
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-65.253135{txt}{col 49}Pseudo R2{col 67}= {res}    0.4461

{txt}{ralign 81:(Std. Err. adjusted for {res:60} clusters in war_id)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      cnew1plus{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}logtroop {c |}{col 17}{res}{space 2}  .390859{col 29}{space 2} .2138061{col 40}{space 1}    1.83{col 49}{space 3}0.068{col 57}{space 4}-.0281932{col 70}{space 3} .8099113
{txt}{space 12}rpr {c |}{col 17}{res}{space 2} 2.878263{col 29}{space 2} 1.485426{col 40}{space 1}    1.94{col 49}{space 3}0.053{col 57}{space 4}-.0331176{col 70}{space 3} 5.789645
{txt}{space 2}shared_ethnic {c |}{col 17}{res}{space 2}-.1779887{col 29}{space 2} .6418472{col 40}{space 1}   -0.28{col 49}{space 3}0.782{col 57}{space 4}-1.435986{col 70}{space 3} 1.080009
{txt}{space 6}criminals {c |}{col 17}{res}{space 2} .9592385{col 29}{space 2} .6050182{col 40}{space 1}    1.59{col 49}{space 3}0.113{col 57}{space 4}-.2265754{col 70}{space 3} 2.145052
{txt}{space 7}peasants {c |}{col 17}{res}{space 2} 2.200872{col 29}{space 2} .5615294{col 40}{space 1}    3.92{col 49}{space 3}0.000{col 57}{space 4} 1.100295{col 70}{space 3} 3.301449
{txt}{space 3}semiofficial {c |}{col 17}{res}{space 2}-.7476133{col 29}{space 2} .8283122{col 40}{space 1}   -0.90{col 49}{space 3}0.367{col 57}{space 4}-2.371075{col 70}{space 3} .8758488
{txt}jointmembership {c |}{col 17}{res}{space 2}-1.430206{col 29}{space 2} .5251539{col 40}{space 1}   -2.72{col 49}{space 3}0.006{col 57}{space 4}-2.459489{col 70}{space 3}-.4009234
{txt}{space 6}contigwar {c |}{col 17}{res}{space 2}-1.730577{col 29}{space 2} .5587123{col 40}{space 1}   -3.10{col 49}{space 3}0.002{col 57}{space 4}-2.825633{col 70}{space 3}-.6355212
{txt}{space 4}lngdpcapnew {c |}{col 17}{res}{space 2}-.2940802{col 29}{space 2} .2945049{col 40}{space 1}   -1.00{col 49}{space 3}0.318{col 57}{space 4}-.8712993{col 70}{space 3} .2831389
{txt}{space 5}separatist {c |}{col 17}{res}{space 2} .3632443{col 29}{space 2} .5442946{col 40}{space 1}    0.67{col 49}{space 3}0.505{col 57}{space 4}-.7035534{col 70}{space 3} 1.430042
{txt}{space 9}polity {c |}{col 17}{res}{space 2} .0692704{col 29}{space 2} .0350385{col 40}{space 1}    1.98{col 49}{space 3}0.048{col 57}{space 4} .0005963{col 70}{space 3} .1379446
{txt}{space 2}num_militias3 {c |}{col 17}{res}{space 2} .0631189{col 29}{space 2} .0635037{col 40}{space 1}    0.99{col 49}{space 3}0.320{col 57}{space 4}-.0613461{col 70}{space 3}  .187584
{txt}{space 6}logbdeath {c |}{col 17}{res}{space 2}-.1367989{col 29}{space 2} .1979422{col 40}{space 1}   -0.69{col 49}{space 3}0.489{col 57}{space 4}-.5247586{col 70}{space 3} .2511607
{txt}{space 7}duration {c |}{col 17}{res}{space 2} .0165698{col 29}{space 2} .0176325{col 40}{space 1}    0.94{col 49}{space 3}0.347{col 57}{space 4}-.0179893{col 70}{space 3} .0511288
{txt}{space 6}guerrilla {c |}{col 17}{res}{space 2} -.234229{col 29}{space 2} .5559082{col 40}{space 1}   -0.42{col 49}{space 3}0.674{col 57}{space 4}-1.323789{col 70}{space 3} .8553311
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-1.026119{col 29}{space 2}   3.4175{col 40}{space 1}   -0.30{col 49}{space 3}0.764{col 57}{space 4}-7.724297{col 70}{space 3} 5.672058
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit cnew2plus logtroop rpr shared_ethnic criminal peasant semiofficial jointmembership contigwar lngdpcapnew separatist polity num_militias3 logbdeath duration guerrilla, cluster(war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-86.894481}  
Iteration 1:{space 3}log pseudolikelihood = {res:-56.137647}  
Iteration 2:{space 3}log pseudolikelihood = {res:-49.455413}  
Iteration 3:{space 3}log pseudolikelihood = {res: -48.78222}  
Iteration 4:{space 3}log pseudolikelihood = {res:-48.769009}  
Iteration 5:{space 3}log pseudolikelihood = {res:-48.769008}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       172
{txt}{col 49}Wald chi2({res}15{txt}){col 67}= {res}     67.96
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-48.769008{txt}{col 49}Pseudo R2{col 67}= {res}    0.4388

{txt}{ralign 81:(Std. Err. adjusted for {res:60} clusters in war_id)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      cnew2plus{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}logtroop {c |}{col 17}{res}{space 2} .9593962{col 29}{space 2} .3574176{col 40}{space 1}    2.68{col 49}{space 3}0.007{col 57}{space 4} .2588707{col 70}{space 3} 1.659922
{txt}{space 12}rpr {c |}{col 17}{res}{space 2} 1.234264{col 29}{space 2} 2.208928{col 40}{space 1}    0.56{col 49}{space 3}0.576{col 57}{space 4}-3.095155{col 70}{space 3} 5.563683
{txt}{space 2}shared_ethnic {c |}{col 17}{res}{space 2}-.6060298{col 29}{space 2}  .855169{col 40}{space 1}   -0.71{col 49}{space 3}0.479{col 57}{space 4} -2.28213{col 70}{space 3} 1.070071
{txt}{space 6}criminals {c |}{col 17}{res}{space 2} 1.926197{col 29}{space 2} 1.146434{col 40}{space 1}    1.68{col 49}{space 3}0.093{col 57}{space 4}-.3207734{col 70}{space 3} 4.173166
{txt}{space 7}peasants {c |}{col 17}{res}{space 2} 2.259897{col 29}{space 2} .8225671{col 40}{space 1}    2.75{col 49}{space 3}0.006{col 57}{space 4} .6476953{col 70}{space 3} 3.872099
{txt}{space 3}semiofficial {c |}{col 17}{res}{space 2}-1.498098{col 29}{space 2}  .671278{col 40}{space 1}   -2.23{col 49}{space 3}0.026{col 57}{space 4}-2.813778{col 70}{space 3}-.1824172
{txt}jointmembership {c |}{col 17}{res}{space 2} .7540121{col 29}{space 2} .8897773{col 40}{space 1}    0.85{col 49}{space 3}0.397{col 57}{space 4}-.9899194{col 70}{space 3} 2.497944
{txt}{space 6}contigwar {c |}{col 17}{res}{space 2}-.9196685{col 29}{space 2} .9489174{col 40}{space 1}   -0.97{col 49}{space 3}0.332{col 57}{space 4}-2.779512{col 70}{space 3} .9401754
{txt}{space 4}lngdpcapnew {c |}{col 17}{res}{space 2}-.7417241{col 29}{space 2} .5488376{col 40}{space 1}   -1.35{col 49}{space 3}0.177{col 57}{space 4}-1.817426{col 70}{space 3} .3339778
{txt}{space 5}separatist {c |}{col 17}{res}{space 2} -.587709{col 29}{space 2} .9662188{col 40}{space 1}   -0.61{col 49}{space 3}0.543{col 57}{space 4}-2.481463{col 70}{space 3} 1.306045
{txt}{space 9}polity {c |}{col 17}{res}{space 2} .0705428{col 29}{space 2} .0451304{col 40}{space 1}    1.56{col 49}{space 3}0.118{col 57}{space 4} -.017911{col 70}{space 3} .1589967
{txt}{space 2}num_militias3 {c |}{col 17}{res}{space 2}-.0292224{col 29}{space 2} .0898693{col 40}{space 1}   -0.33{col 49}{space 3}0.745{col 57}{space 4}-.2053631{col 70}{space 3} .1469183
{txt}{space 6}logbdeath {c |}{col 17}{res}{space 2}-.0213337{col 29}{space 2} .4520263{col 40}{space 1}   -0.05{col 49}{space 3}0.962{col 57}{space 4}-.9072889{col 70}{space 3} .8646215
{txt}{space 7}duration {c |}{col 17}{res}{space 2}-.0015519{col 29}{space 2} .0299018{col 40}{space 1}   -0.05{col 49}{space 3}0.959{col 57}{space 4}-.0601584{col 70}{space 3} .0570546
{txt}{space 6}guerrilla {c |}{col 17}{res}{space 2} .4554762{col 29}{space 2}   .95113{col 40}{space 1}    0.48{col 49}{space 3}0.632{col 57}{space 4}-1.408704{col 70}{space 3} 2.319657
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-.9331884{col 29}{space 2} 6.628983{col 40}{space 1}   -0.14{col 49}{space 3}0.888{col 57}{space 4}-13.92576{col 70}{space 3} 12.05938
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. ** Table 6: Multinomial Logistic Regressions **
. mlogit containment1new logtroop rpr, base(2) vce(cluster war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-205.89563}  
Iteration 1:{space 3}log pseudolikelihood = {res:-166.23696}  
Iteration 2:{space 3}log pseudolikelihood = {res:-161.90457}  
Iteration 3:{space 3}log pseudolikelihood = {res:-161.73757}  
Iteration 4:{space 3}log pseudolikelihood = {res:-161.73691}  
Iteration 5:{space 3}log pseudolikelihood = {res:-161.73691}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       212
{txt}{col 49}Wald chi2({res}4{txt}){col 67}= {res}     29.69
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-161.73691{txt}{col 49}Pseudo R2{col 67}= {res}    0.2145

{txt}{ralign 78:(Std. Err. adjusted for {res:72} clusters in war_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}containmen~w{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1            {txt}{c |}
{space 4}logtroop {c |}{col 14}{res}{space 2}-.3043249{col 26}{space 2} .1115997{col 37}{space 1}   -2.73{col 46}{space 3}0.006{col 54}{space 4}-.5230563{col 67}{space 3}-.0855936
{txt}{space 9}rpr {c |}{col 14}{res}{space 2} -2.67639{col 26}{space 2} .8262573{col 37}{space 1}   -3.24{col 46}{space 3}0.001{col 54}{space 4}-4.295824{col 67}{space 3}-1.056955
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 4.417503{col 26}{space 2} .9881275{col 37}{space 1}    4.47{col 46}{space 3}0.000{col 54}{space 4} 2.480809{col 67}{space 3} 6.354198
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}2           {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 4}logtroop {c |}{col 14}{res}{space 2} .5453819{col 26}{space 2} .1505397{col 37}{space 1}    3.62{col 46}{space 3}0.000{col 54}{space 4} .2503295{col 67}{space 3} .8404343
{txt}{space 9}rpr {c |}{col 14}{res}{space 2} .3105628{col 26}{space 2}  .897167{col 37}{space 1}    0.35{col 46}{space 3}0.729{col 54}{space 4}-1.447852{col 67}{space 3} 2.068978
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.332958{col 26}{space 2} 1.446634{col 37}{space 1}   -2.30{col 46}{space 3}0.021{col 54}{space 4}-6.168308{col 67}{space 3}-.4976082
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. mlogit containment1new logtroop rpr shared_ethnic criminal peasant semiofficial jointmembership, base(2) vce(cluster war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-186.30087}  
Iteration 1:{space 3}log pseudolikelihood = {res:-134.24502}  
Iteration 2:{space 3}log pseudolikelihood = {res:-125.83866}  
Iteration 3:{space 3}log pseudolikelihood = {res: -125.0724}  
Iteration 4:{space 3}log pseudolikelihood = {res:-124.97917}  
Iteration 5:{space 3}log pseudolikelihood = {res:-124.95611}  
Iteration 6:{space 3}log pseudolikelihood = {res:-124.95129}  
Iteration 7:{space 3}log pseudolikelihood = {res:-124.95025}  
Iteration 8:{space 3}log pseudolikelihood = {res:-124.95002}  
Iteration 9:{space 3}log pseudolikelihood = {res:-124.94997}  
Iteration 10:{space 2}log pseudolikelihood = {res:-124.94996}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       194
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}   1913.82
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-124.94996{txt}{col 49}Pseudo R2{col 67}= {res}    0.3293

{txt}{ralign 81:(Std. Err. adjusted for {res:71} clusters in war_id)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}containment1new{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1               {txt}{c |}
{space 7}logtroop {c |}{col 17}{res}{space 2}-.3682001{col 29}{space 2} .1463297{col 40}{space 1}   -2.52{col 49}{space 3}0.012{col 57}{space 4}-.6550011{col 70}{space 3}-.0813991
{txt}{space 12}rpr {c |}{col 17}{res}{space 2}-3.180896{col 29}{space 2} .9671138{col 40}{space 1}   -3.29{col 49}{space 3}0.001{col 57}{space 4}-5.076405{col 70}{space 3}-1.285388
{txt}{space 2}shared_ethnic {c |}{col 17}{res}{space 2} -.167661{col 29}{space 2} .6370183{col 40}{space 1}   -0.26{col 49}{space 3}0.792{col 57}{space 4}-1.416194{col 70}{space 3} 1.080872
{txt}{space 6}criminals {c |}{col 17}{res}{space 2}  .324543{col 29}{space 2} 1.080595{col 40}{space 1}    0.30{col 49}{space 3}0.764{col 57}{space 4}-1.793384{col 70}{space 3}  2.44247
{txt}{space 7}peasants {c |}{col 17}{res}{space 2}-1.134546{col 29}{space 2} .4776756{col 40}{space 1}   -2.38{col 49}{space 3}0.018{col 57}{space 4}-2.070773{col 70}{space 3}-.1983188
{txt}{space 3}semiofficial {c |}{col 17}{res}{space 2} .7361695{col 29}{space 2} .6159953{col 40}{space 1}    1.20{col 49}{space 3}0.232{col 57}{space 4} -.471159{col 70}{space 3} 1.943498
{txt}jointmembership {c |}{col 17}{res}{space 2} 15.34232{col 29}{space 2} .5600054{col 40}{space 1}   27.40{col 49}{space 3}0.000{col 57}{space 4} 14.24473{col 70}{space 3} 16.43991
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 5.250599{col 29}{space 2} 1.243588{col 40}{space 1}    4.22{col 49}{space 3}0.000{col 57}{space 4} 2.813211{col 70}{space 3} 7.687986
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}2              {col 17}{txt}{c |}  (base outcome)
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3               {txt}{c |}
{space 7}logtroop {c |}{col 17}{res}{space 2} .5928914{col 29}{space 2} .1845097{col 40}{space 1}    3.21{col 49}{space 3}0.001{col 57}{space 4}  .231259{col 70}{space 3} .9545239
{txt}{space 12}rpr {c |}{col 17}{res}{space 2}-.1825056{col 29}{space 2} 1.342143{col 40}{space 1}   -0.14{col 49}{space 3}0.892{col 57}{space 4}-2.813057{col 70}{space 3} 2.448046
{txt}{space 2}shared_ethnic {c |}{col 17}{res}{space 2}-.6622992{col 29}{space 2} .9122725{col 40}{space 1}   -0.73{col 49}{space 3}0.468{col 57}{space 4} -2.45032{col 70}{space 3} 1.125722
{txt}{space 6}criminals {c |}{col 17}{res}{space 2} 2.235969{col 29}{space 2} 1.452644{col 40}{space 1}    1.54{col 49}{space 3}0.124{col 57}{space 4}-.6111607{col 70}{space 3} 5.083098
{txt}{space 7}peasants {c |}{col 17}{res}{space 2} 1.906874{col 29}{space 2} .6760038{col 40}{space 1}    2.82{col 49}{space 3}0.005{col 57}{space 4} .5819306{col 70}{space 3} 3.231817
{txt}{space 3}semiofficial {c |}{col 17}{res}{space 2}-1.201037{col 29}{space 2} .6418448{col 40}{space 1}   -1.87{col 49}{space 3}0.061{col 57}{space 4} -2.45903{col 70}{space 3} .0569557
{txt}jointmembership {c |}{col 17}{res}{space 2} 15.02013{col 29}{space 2} .8166931{col 40}{space 1}   18.39{col 49}{space 3}0.000{col 57}{space 4} 13.41944{col 70}{space 3} 16.62082
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-3.543185{col 29}{space 2} 2.339178{col 40}{space 1}   -1.51{col 49}{space 3}0.130{col 57}{space 4} -8.12789{col 70}{space 3}  1.04152
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. mlogit containment1new logtroop rpr shared_ethnic criminal peasant semiofficial jointmembership contigwar lngdpcapnew separatist polity num_militias3, base(2) vce(cluster war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-186.30087}  
Iteration 1:{space 3}log pseudolikelihood = {res:-124.16719}  
Iteration 2:{space 3}log pseudolikelihood = {res:-113.44462}  
Iteration 3:{space 3}log pseudolikelihood = {res:-111.42183}  
Iteration 4:{space 3}log pseudolikelihood = {res:-111.27078}  
Iteration 5:{space 3}log pseudolikelihood = {res:-111.23424}  
Iteration 6:{space 3}log pseudolikelihood = {res:-111.22668}  
Iteration 7:{space 3}log pseudolikelihood = {res:-111.22507}  
Iteration 8:{space 3}log pseudolikelihood = {res:-111.22471}  
Iteration 9:{space 3}log pseudolikelihood = {res:-111.22462}  
Iteration 10:{space 2}log pseudolikelihood = {res:-111.22461}  
Iteration 11:{space 2}log pseudolikelihood = {res: -111.2246}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       194
{txt}{col 49}Wald chi2({res}24{txt}){col 67}= {res}   3012.54
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -111.2246{txt}{col 49}Pseudo R2{col 67}= {res}    0.4030

{txt}{ralign 81:(Std. Err. adjusted for {res:71} clusters in war_id)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}containment1new{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1               {txt}{c |}
{space 7}logtroop {c |}{col 17}{res}{space 2}-.2390049{col 29}{space 2} .1669034{col 40}{space 1}   -1.43{col 49}{space 3}0.152{col 57}{space 4}-.5661296{col 70}{space 3} .0881198
{txt}{space 12}rpr {c |}{col 17}{res}{space 2}-3.795709{col 29}{space 2} 1.436949{col 40}{space 1}   -2.64{col 49}{space 3}0.008{col 57}{space 4}-6.612077{col 70}{space 3}-.9793404
{txt}{space 2}shared_ethnic {c |}{col 17}{res}{space 2}-.4933727{col 29}{space 2} .6663087{col 40}{space 1}   -0.74{col 49}{space 3}0.459{col 57}{space 4}-1.799314{col 70}{space 3} .8125684
{txt}{space 6}criminals {c |}{col 17}{res}{space 2} .1927692{col 29}{space 2} 1.144532{col 40}{space 1}    0.17{col 49}{space 3}0.866{col 57}{space 4}-2.050472{col 70}{space 3}  2.43601
{txt}{space 7}peasants {c |}{col 17}{res}{space 2}-1.429199{col 29}{space 2} .5984852{col 40}{space 1}   -2.39{col 49}{space 3}0.017{col 57}{space 4}-2.602208{col 70}{space 3}-.2561893
{txt}{space 3}semiofficial {c |}{col 17}{res}{space 2} .5867634{col 29}{space 2}  .842684{col 40}{space 1}    0.70{col 49}{space 3}0.486{col 57}{space 4}-1.064867{col 70}{space 3} 2.238394
{txt}jointmembership {c |}{col 17}{res}{space 2} 15.68984{col 29}{space 2} .7909477{col 40}{space 1}   19.84{col 49}{space 3}0.000{col 57}{space 4} 14.13961{col 70}{space 3} 17.24007
{txt}{space 6}contigwar {c |}{col 17}{res}{space 2}  1.92124{col 29}{space 2} .4551617{col 40}{space 1}    4.22{col 49}{space 3}0.000{col 57}{space 4} 1.029139{col 70}{space 3}  2.81334
{txt}{space 4}lngdpcapnew {c |}{col 17}{res}{space 2} .3061273{col 29}{space 2} .2267074{col 40}{space 1}    1.35{col 49}{space 3}0.177{col 57}{space 4} -.138211{col 70}{space 3} .7504656
{txt}{space 5}separatist {c |}{col 17}{res}{space 2} .0537859{col 29}{space 2} .4088411{col 40}{space 1}    0.13{col 49}{space 3}0.895{col 57}{space 4}-.7475279{col 70}{space 3} .8550997
{txt}{space 9}polity {c |}{col 17}{res}{space 2}-.0733672{col 29}{space 2} .0360702{col 40}{space 1}   -2.03{col 49}{space 3}0.042{col 57}{space 4}-.1440634{col 70}{space 3}-.0026709
{txt}{space 2}num_militias3 {c |}{col 17}{res}{space 2} -.058798{col 29}{space 2}   .06493{col 40}{space 1}   -0.91{col 49}{space 3}0.365{col 57}{space 4}-.1860585{col 70}{space 3} .0684625
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 2.518436{col 29}{space 2} 2.401438{col 40}{space 1}    1.05{col 49}{space 3}0.294{col 57}{space 4}-2.188296{col 70}{space 3} 7.225168
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}2              {col 17}{txt}{c |}  (base outcome)
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3               {txt}{c |}
{space 7}logtroop {c |}{col 17}{res}{space 2} .8355276{col 29}{space 2} .3682742{col 40}{space 1}    2.27{col 49}{space 3}0.023{col 57}{space 4} .1137234{col 70}{space 3} 1.557332
{txt}{space 12}rpr {c |}{col 17}{res}{space 2}-1.116101{col 29}{space 2} 2.207677{col 40}{space 1}   -0.51{col 49}{space 3}0.613{col 57}{space 4}-5.443069{col 70}{space 3} 3.210867
{txt}{space 2}shared_ethnic {c |}{col 17}{res}{space 2}-1.107624{col 29}{space 2} .9464556{col 40}{space 1}   -1.17{col 49}{space 3}0.242{col 57}{space 4}-2.962643{col 70}{space 3} .7473946
{txt}{space 6}criminals {c |}{col 17}{res}{space 2} 2.360432{col 29}{space 2} 1.560801{col 40}{space 1}    1.51{col 49}{space 3}0.130{col 57}{space 4}-.6986819{col 70}{space 3} 5.419545
{txt}{space 7}peasants {c |}{col 17}{res}{space 2} 1.764338{col 29}{space 2} .6304009{col 40}{space 1}    2.80{col 49}{space 3}0.005{col 57}{space 4}  .528775{col 70}{space 3} 2.999901
{txt}{space 3}semiofficial {c |}{col 17}{res}{space 2}-1.297966{col 29}{space 2}  .888104{col 40}{space 1}   -1.46{col 49}{space 3}0.144{col 57}{space 4}-3.038618{col 70}{space 3} .4426853
{txt}jointmembership {c |}{col 17}{res}{space 2} 15.87568{col 29}{space 2} .9463694{col 40}{space 1}   16.78{col 49}{space 3}0.000{col 57}{space 4} 14.02083{col 70}{space 3} 17.73053
{txt}{space 6}contigwar {c |}{col 17}{res}{space 2}  .252685{col 29}{space 2} .7940734{col 40}{space 1}    0.32{col 49}{space 3}0.750{col 57}{space 4} -1.30367{col 70}{space 3}  1.80904
{txt}{space 4}lngdpcapnew {c |}{col 17}{res}{space 2}-.4554824{col 29}{space 2} .3315092{col 40}{space 1}   -1.37{col 49}{space 3}0.169{col 57}{space 4}-1.105228{col 70}{space 3} .1942637
{txt}{space 5}separatist {c |}{col 17}{res}{space 2}-.6317676{col 29}{space 2} .9506209{col 40}{space 1}   -0.66{col 49}{space 3}0.506{col 57}{space 4} -2.49495{col 70}{space 3} 1.231415
{txt}{space 9}polity {c |}{col 17}{res}{space 2} .0027397{col 29}{space 2} .0537767{col 40}{space 1}    0.05{col 49}{space 3}0.959{col 57}{space 4}-.1026608{col 70}{space 3} .1081401
{txt}{space 2}num_militias3 {c |}{col 17}{res}{space 2}-.0309013{col 29}{space 2} .0559397{col 40}{space 1}   -0.55{col 49}{space 3}0.581{col 57}{space 4} -.140541{col 70}{space 3} .0787385
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}  .401193{col 29}{space 2} 3.852363{col 40}{space 1}    0.10{col 49}{space 3}0.917{col 57}{space 4}  -7.1493{col 70}{space 3} 7.951686
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. ** Table 7: Endogeneity probe **
. clear 
{txt}
{com}. use "civtargeting.dta"
{txt}
{com}. logit miltargeting containment

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-64.109393}  
Iteration 1:{space 3}log likelihood = {res:-64.071376}  
Iteration 2:{space 3}log likelihood = {res:-64.071375}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}        94
{txt}{col 49}LR chi2({res}1{txt}){col 67}= {res}      0.08
{txt}{col 49}Prob > chi2{col 67}= {res}    0.7827
{txt}Log likelihood = {res}-64.071375{txt}{col 49}Pseudo R2{col 67}= {res}    0.0006

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   miltargeting{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
containment1new {c |}{col 17}{res}{space 2}  .071436{col 29}{space 2} .2589599{col 40}{space 1}    0.28{col 49}{space 3}0.783{col 57}{space 4} -.436116{col 70}{space 3}  .578988
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-.4234555{col 29}{space 2} .4942132{col 40}{space 1}   -0.86{col 49}{space 3}0.392{col 57}{space 4}-1.392096{col 70}{space 3} .5451846
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. clear 
{txt}
{com}. use "PGM_ISQmain.dta"
{txt}
{com}. 
. logit cnew1plus logtroop rpraltalt shared_ethnic criminal peasant semiofficial jointmembership , cluster(war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-129.16611}  
Iteration 1:{space 3}log pseudolikelihood = {res: -89.80294}  
Iteration 2:{space 3}log pseudolikelihood = {res:-88.561481}  
Iteration 3:{space 3}log pseudolikelihood = {res:-88.552843}  
Iteration 4:{space 3}log pseudolikelihood = {res:-88.552841}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       191
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}     55.75
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-88.552841{txt}{col 49}Pseudo R2{col 67}= {res}    0.3144

{txt}{ralign 81:(Std. Err. adjusted for {res:69} clusters in war_id)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      cnew1plus{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}logtroop {c |}{col 17}{res}{space 2} .5437774{col 29}{space 2} .1613909{col 40}{space 1}    3.37{col 49}{space 3}0.001{col 57}{space 4}  .227457{col 70}{space 3} .8600977
{txt}{space 6}rpraltalt {c |}{col 17}{res}{space 2} 2.852091{col 29}{space 2} .8703811{col 40}{space 1}    3.28{col 49}{space 3}0.001{col 57}{space 4} 1.146175{col 70}{space 3} 4.558006
{txt}{space 2}shared_ethnic {c |}{col 17}{res}{space 2}-.1659043{col 29}{space 2} .5897375{col 40}{space 1}   -0.28{col 49}{space 3}0.778{col 57}{space 4}-1.321769{col 70}{space 3}   .98996
{txt}{space 6}criminals {c |}{col 17}{res}{space 2} .7369942{col 29}{space 2} .5206264{col 40}{space 1}    1.42{col 49}{space 3}0.157{col 57}{space 4}-.2834147{col 70}{space 3} 1.757403
{txt}{space 7}peasants {c |}{col 17}{res}{space 2} 1.857932{col 29}{space 2} .4534798{col 40}{space 1}    4.10{col 49}{space 3}0.000{col 57}{space 4} .9691279{col 70}{space 3} 2.746736
{txt}{space 3}semiofficial {c |}{col 17}{res}{space 2}-1.305347{col 29}{space 2} .4917534{col 40}{space 1}   -2.65{col 49}{space 3}0.008{col 57}{space 4}-2.269166{col 70}{space 3}-.3415278
{txt}jointmembership {c |}{col 17}{res}{space 2}-1.578065{col 29}{space 2} .4937243{col 40}{space 1}   -3.20{col 49}{space 3}0.001{col 57}{space 4}-2.545747{col 70}{space 3} -.610383
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-5.242434{col 29}{space 2} 1.239142{col 40}{space 1}   -4.23{col 49}{space 3}0.000{col 57}{space 4}-7.671107{col 70}{space 3} -2.81376
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit cnew2plus logtroop rpraltalt shared_ethnic criminal peasant  semiofficial jointmembership, cluster(war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-90.969505}  
Iteration 1:{space 3}log pseudolikelihood = {res:-61.980982}  
Iteration 2:{space 3}log pseudolikelihood = {res:-55.939889}  
Iteration 3:{space 3}log pseudolikelihood = {res:-55.737501}  
Iteration 4:{space 3}log pseudolikelihood = {res:-55.737012}  
Iteration 5:{space 3}log pseudolikelihood = {res:-55.737012}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       191
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}     44.26
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-55.737012{txt}{col 49}Pseudo R2{col 67}= {res}    0.3873

{txt}{ralign 81:(Std. Err. adjusted for {res:69} clusters in war_id)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      cnew2plus{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}logtroop {c |}{col 17}{res}{space 2} .7954718{col 29}{space 2} .1985972{col 40}{space 1}    4.01{col 49}{space 3}0.000{col 57}{space 4} .4062285{col 70}{space 3} 1.184715
{txt}{space 6}rpraltalt {c |}{col 17}{res}{space 2} .9917811{col 29}{space 2}  .995852{col 40}{space 1}    1.00{col 49}{space 3}0.319{col 57}{space 4} -.960053{col 70}{space 3} 2.943615
{txt}{space 2}shared_ethnic {c |}{col 17}{res}{space 2}  -.59062{col 29}{space 2} .8677853{col 40}{space 1}   -0.68{col 49}{space 3}0.496{col 57}{space 4}-2.291448{col 70}{space 3} 1.110208
{txt}{space 6}criminals {c |}{col 17}{res}{space 2} 1.860115{col 29}{space 2} .7834956{col 40}{space 1}    2.37{col 49}{space 3}0.018{col 57}{space 4} .3244917{col 70}{space 3} 3.395738
{txt}{space 7}peasants {c |}{col 17}{res}{space 2} 2.382395{col 29}{space 2}  .637395{col 40}{space 1}    3.74{col 49}{space 3}0.000{col 57}{space 4} 1.133123{col 70}{space 3} 3.631666
{txt}{space 3}semiofficial {c |}{col 17}{res}{space 2}-1.349345{col 29}{space 2} .4628996{col 40}{space 1}   -2.91{col 49}{space 3}0.004{col 57}{space 4}-2.256612{col 70}{space 3}-.4420788
{txt}jointmembership {c |}{col 17}{res}{space 2} .2814207{col 29}{space 2} .6622982{col 40}{space 1}    0.42{col 49}{space 3}0.671{col 57}{space 4} -1.01666{col 70}{space 3} 1.579501
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-6.613246{col 29}{space 2} 1.945986{col 40}{space 1}   -3.40{col 49}{space 3}0.001{col 57}{space 4}-10.42731{col 70}{space 3}-2.799184
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. logit cnew1plus logtroop rpraltalt shared_ethnic criminal peasant semiofficial jointmembership contigwar lngdpcapnew separatist polity num_militias3 , cluster(war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-129.16611}  
Iteration 1:{space 3}log pseudolikelihood = {res:-78.767936}  
Iteration 2:{space 3}log pseudolikelihood = {res:-76.461372}  
Iteration 3:{space 3}log pseudolikelihood = {res: -76.39649}  
Iteration 4:{space 3}log pseudolikelihood = {res:-76.396298}  
Iteration 5:{space 3}log pseudolikelihood = {res:-76.396298}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       191
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     53.61
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-76.396298{txt}{col 49}Pseudo R2{col 67}= {res}    0.4085

{txt}{ralign 81:(Std. Err. adjusted for {res:69} clusters in war_id)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      cnew1plus{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}logtroop {c |}{col 17}{res}{space 2} .4796222{col 29}{space 2} .1879441{col 40}{space 1}    2.55{col 49}{space 3}0.011{col 57}{space 4} .1112585{col 70}{space 3} .8479859
{txt}{space 6}rpraltalt {c |}{col 17}{res}{space 2} 2.669903{col 29}{space 2} 1.182858{col 40}{space 1}    2.26{col 49}{space 3}0.024{col 57}{space 4} .3515447{col 70}{space 3} 4.988262
{txt}{space 2}shared_ethnic {c |}{col 17}{res}{space 2} .0937407{col 29}{space 2} .5617655{col 40}{space 1}    0.17{col 49}{space 3}0.867{col 57}{space 4}-1.007299{col 70}{space 3} 1.194781
{txt}{space 6}criminals {c |}{col 17}{res}{space 2} .9269693{col 29}{space 2} .5415008{col 40}{space 1}    1.71{col 49}{space 3}0.087{col 57}{space 4}-.1343529{col 70}{space 3} 1.988291
{txt}{space 7}peasants {c |}{col 17}{res}{space 2} 2.112435{col 29}{space 2} .5430301{col 40}{space 1}    3.89{col 49}{space 3}0.000{col 57}{space 4} 1.048115{col 70}{space 3} 3.176754
{txt}{space 3}semiofficial {c |}{col 17}{res}{space 2}-1.081697{col 29}{space 2} .6856193{col 40}{space 1}   -1.58{col 49}{space 3}0.115{col 57}{space 4}-2.425486{col 70}{space 3} .2620925
{txt}jointmembership {c |}{col 17}{res}{space 2}-1.052812{col 29}{space 2} .5740905{col 40}{space 1}   -1.83{col 49}{space 3}0.067{col 57}{space 4}-2.178009{col 70}{space 3} .0723848
{txt}{space 6}contigwar {c |}{col 17}{res}{space 2}-1.706572{col 29}{space 2} .4838028{col 40}{space 1}   -3.53{col 49}{space 3}0.000{col 57}{space 4}-2.654808{col 70}{space 3}-.7583359
{txt}{space 4}lngdpcapnew {c |}{col 17}{res}{space 2}-.6413331{col 29}{space 2} .2447265{col 40}{space 1}   -2.62{col 49}{space 3}0.009{col 57}{space 4}-1.120988{col 70}{space 3}-.1616779
{txt}{space 5}separatist {c |}{col 17}{res}{space 2} .0623626{col 29}{space 2} .4238496{col 40}{space 1}    0.15{col 49}{space 3}0.883{col 57}{space 4}-.7683673{col 70}{space 3} .8930926
{txt}{space 9}polity {c |}{col 17}{res}{space 2} .0763311{col 29}{space 2} .0352422{col 40}{space 1}    2.17{col 49}{space 3}0.030{col 57}{space 4} .0072577{col 70}{space 3} .1454045
{txt}{space 2}num_militias3 {c |}{col 17}{res}{space 2} .0593827{col 29}{space 2} .0579525{col 40}{space 1}    1.02{col 49}{space 3}0.306{col 57}{space 4}-.0542021{col 70}{space 3} .1729675
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .3952955{col 29}{space 2}  2.33269{col 40}{space 1}    0.17{col 49}{space 3}0.865{col 57}{space 4}-4.176693{col 70}{space 3} 4.967284
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit cnew2plus logtroop rpraltalt shared_ethnic criminal peasant semiofficial jointmembership contigwar lngdpcapnew separatist polity num_militias3 , cluster(war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-90.969505}  
Iteration 1:{space 3}log pseudolikelihood = {res:  -59.9532}  
Iteration 2:{space 3}log pseudolikelihood = {res:-53.281915}  
Iteration 3:{space 3}log pseudolikelihood = {res:-52.580689}  
Iteration 4:{space 3}log pseudolikelihood = {res:-52.573867}  
Iteration 5:{space 3}log pseudolikelihood = {res:-52.573864}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       191
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     61.76
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-52.573864{txt}{col 49}Pseudo R2{col 67}= {res}    0.4221

{txt}{ralign 81:(Std. Err. adjusted for {res:69} clusters in war_id)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      cnew2plus{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}logtroop {c |}{col 17}{res}{space 2}  .927377{col 29}{space 2} .3504782{col 40}{space 1}    2.65{col 49}{space 3}0.008{col 57}{space 4} .2404523{col 70}{space 3} 1.614302
{txt}{space 6}rpraltalt {c |}{col 17}{res}{space 2} .5367643{col 29}{space 2} 1.393143{col 40}{space 1}    0.39{col 49}{space 3}0.700{col 57}{space 4}-2.193745{col 70}{space 3} 3.267274
{txt}{space 2}shared_ethnic {c |}{col 17}{res}{space 2}-.7550055{col 29}{space 2} .8621339{col 40}{space 1}   -0.88{col 49}{space 3}0.381{col 57}{space 4}-2.444757{col 70}{space 3} .9347459
{txt}{space 6}criminals {c |}{col 17}{res}{space 2} 1.936915{col 29}{space 2} .8818544{col 40}{space 1}    2.20{col 49}{space 3}0.028{col 57}{space 4} .2085118{col 70}{space 3} 3.665318
{txt}{space 7}peasants {c |}{col 17}{res}{space 2} 2.259903{col 29}{space 2} .5908628{col 40}{space 1}    3.82{col 49}{space 3}0.000{col 57}{space 4} 1.101833{col 70}{space 3} 3.417972
{txt}{space 3}semiofficial {c |}{col 17}{res}{space 2}-1.155828{col 29}{space 2} .5855923{col 40}{space 1}   -1.97{col 49}{space 3}0.048{col 57}{space 4}-2.303568{col 70}{space 3}-.0080878
{txt}jointmembership {c |}{col 17}{res}{space 2} .6795114{col 29}{space 2} .7068514{col 40}{space 1}    0.96{col 49}{space 3}0.336{col 57}{space 4} -.705892{col 70}{space 3} 2.064915
{txt}{space 6}contigwar {c |}{col 17}{res}{space 2}-.8867489{col 29}{space 2} .7685175{col 40}{space 1}   -1.15{col 49}{space 3}0.249{col 57}{space 4}-2.393015{col 70}{space 3} .6195178
{txt}{space 4}lngdpcapnew {c |}{col 17}{res}{space 2}-.8428269{col 29}{space 2} .3231526{col 40}{space 1}   -2.61{col 49}{space 3}0.009{col 57}{space 4}-1.476194{col 70}{space 3}-.2094594
{txt}{space 5}separatist {c |}{col 17}{res}{space 2}-.3544795{col 29}{space 2} .8676242{col 40}{space 1}   -0.41{col 49}{space 3}0.683{col 57}{space 4}-2.054992{col 70}{space 3} 1.346033
{txt}{space 9}polity {c |}{col 17}{res}{space 2}  .047532{col 29}{space 2} .0470568{col 40}{space 1}    1.01{col 49}{space 3}0.312{col 57}{space 4}-.0446976{col 70}{space 3} .1397616
{txt}{space 2}num_militias3 {c |}{col 17}{res}{space 2}-.0162611{col 29}{space 2} .0572949{col 40}{space 1}   -0.28{col 49}{space 3}0.777{col 57}{space 4} -.128557{col 70}{space 3} .0960348
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .2895637{col 29}{space 2}  3.19001{col 40}{space 1}    0.09{col 49}{space 3}0.928{col 57}{space 4}-5.962741{col 70}{space 3} 6.541868
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. ** Table 8: Ordered Binary Logits- Militias Formed During War **
. 
. logit cnew1plus logtroop rpr shared_ethnic criminal peasant semiofficial jointmembership formed, cluster(war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-131.47573}  
Iteration 1:{space 3}log pseudolikelihood = {res:-88.829605}  
Iteration 2:{space 3}log pseudolikelihood = {res:-87.601228}  
Iteration 3:{space 3}log pseudolikelihood = {res:-87.594183}  
Iteration 4:{space 3}log pseudolikelihood = {res:-87.594182}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       194
{txt}{col 49}Wald chi2({res}8{txt}){col 67}= {res}     67.60
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-87.594182{txt}{col 49}Pseudo R2{col 67}= {res}    0.3338

{txt}{ralign 81:(Std. Err. adjusted for {res:71} clusters in war_id)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      cnew1plus{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}logtroop {c |}{col 17}{res}{space 2} .5425563{col 29}{space 2} .1474129{col 40}{space 1}    3.68{col 49}{space 3}0.000{col 57}{space 4} .2536323{col 70}{space 3} .8314803
{txt}{space 12}rpr {c |}{col 17}{res}{space 2} 2.934511{col 29}{space 2}  .913693{col 40}{space 1}    3.21{col 49}{space 3}0.001{col 57}{space 4} 1.143705{col 70}{space 3} 4.725316
{txt}{space 2}shared_ethnic {c |}{col 17}{res}{space 2}-.2874839{col 29}{space 2} .6035888{col 40}{space 1}   -0.48{col 49}{space 3}0.634{col 57}{space 4}-1.470496{col 70}{space 3} .8955284
{txt}{space 6}criminals {c |}{col 17}{res}{space 2} .6945162{col 29}{space 2} .5376091{col 40}{space 1}    1.29{col 49}{space 3}0.196{col 57}{space 4}-.3591782{col 70}{space 3} 1.748211
{txt}{space 7}peasants {c |}{col 17}{res}{space 2} 1.637267{col 29}{space 2} .4253526{col 40}{space 1}    3.85{col 49}{space 3}0.000{col 57}{space 4} .8035912{col 70}{space 3} 2.470943
{txt}{space 3}semiofficial {c |}{col 17}{res}{space 2}-1.098468{col 29}{space 2} .5232254{col 40}{space 1}   -2.10{col 49}{space 3}0.036{col 57}{space 4}-2.123971{col 70}{space 3}-.0729655
{txt}jointmembership {c |}{col 17}{res}{space 2}-1.785537{col 29}{space 2} .4811981{col 40}{space 1}   -3.71{col 49}{space 3}0.000{col 57}{space 4}-2.728668{col 70}{space 3}-.8424065
{txt}formedduringwar {c |}{col 17}{res}{space 2} .4893642{col 29}{space 2} .4255708{col 40}{space 1}    1.15{col 49}{space 3}0.250{col 57}{space 4}-.3447392{col 70}{space 3} 1.323468
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-5.581434{col 29}{space 2} 1.196144{col 40}{space 1}   -4.67{col 49}{space 3}0.000{col 57}{space 4}-7.925833{col 70}{space 3}-3.237036
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit cnew2plus logtroop rpr shared_ethnic criminal peasant semiofficial jointmembership formed, cluster(war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-91.571533}  
Iteration 1:{space 3}log pseudolikelihood = {res:-61.012075}  
Iteration 2:{space 3}log pseudolikelihood = {res: -54.40566}  
Iteration 3:{space 3}log pseudolikelihood = {res:-54.109978}  
Iteration 4:{space 3}log pseudolikelihood = {res:-54.109418}  
Iteration 5:{space 3}log pseudolikelihood = {res:-54.109418}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       194
{txt}{col 49}Wald chi2({res}8{txt}){col 67}= {res}     44.83
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-54.109418{txt}{col 49}Pseudo R2{col 67}= {res}    0.4091

{txt}{ralign 81:(Std. Err. adjusted for {res:71} clusters in war_id)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      cnew2plus{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}logtroop {c |}{col 17}{res}{space 2} .7878115{col 29}{space 2} .1941538{col 40}{space 1}    4.06{col 49}{space 3}0.000{col 57}{space 4} .4072771{col 70}{space 3} 1.168346
{txt}{space 12}rpr {c |}{col 17}{res}{space 2} 1.500708{col 29}{space 2} 1.254423{col 40}{space 1}    1.20{col 49}{space 3}0.232{col 57}{space 4}-.9579162{col 70}{space 3} 3.959333
{txt}{space 2}shared_ethnic {c |}{col 17}{res}{space 2}-.5983658{col 29}{space 2} .8932217{col 40}{space 1}   -0.67{col 49}{space 3}0.503{col 57}{space 4}-2.349048{col 70}{space 3} 1.152316
{txt}{space 6}criminals {c |}{col 17}{res}{space 2}  1.96727{col 29}{space 2} .9139115{col 40}{space 1}    2.15{col 49}{space 3}0.031{col 57}{space 4}  .176036{col 70}{space 3} 3.758503
{txt}{space 7}peasants {c |}{col 17}{res}{space 2} 2.532848{col 29}{space 2} .7294253{col 40}{space 1}    3.47{col 49}{space 3}0.001{col 57}{space 4} 1.103201{col 70}{space 3} 3.962495
{txt}{space 3}semiofficial {c |}{col 17}{res}{space 2}-1.249187{col 29}{space 2} .4903597{col 40}{space 1}   -2.55{col 49}{space 3}0.011{col 57}{space 4}-2.210274{col 70}{space 3}-.2880997
{txt}jointmembership {c |}{col 17}{res}{space 2} .3544893{col 29}{space 2} .6420964{col 40}{space 1}    0.55{col 49}{space 3}0.581{col 57}{space 4}-.9039965{col 70}{space 3} 1.612975
{txt}formedduringwar {c |}{col 17}{res}{space 2} .6375259{col 29}{space 2} .6243641{col 40}{space 1}    1.02{col 49}{space 3}0.307{col 57}{space 4}-.5862052{col 70}{space 3} 1.861257
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-7.730885{col 29}{space 2} 2.246348{col 40}{space 1}   -3.44{col 49}{space 3}0.001{col 57}{space 4}-12.13365{col 70}{space 3}-3.328125
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit cnew1plus logtroop rpr shared_ethnic criminal peasant semiofficial jointmembership contigwar lngdpcapnew separatist polity num_militias3 formed, cluster(war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-131.47573}  
Iteration 1:{space 3}log pseudolikelihood = {res:-78.738333}  
Iteration 2:{space 3}log pseudolikelihood = {res:-76.178324}  
Iteration 3:{space 3}log pseudolikelihood = {res:-76.098361}  
Iteration 4:{space 3}log pseudolikelihood = {res:-76.098081}  
Iteration 5:{space 3}log pseudolikelihood = {res:-76.098081}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       194
{txt}{col 49}Wald chi2({res}13{txt}){col 67}= {res}     57.83
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-76.098081{txt}{col 49}Pseudo R2{col 67}= {res}    0.4212

{txt}{ralign 81:(Std. Err. adjusted for {res:71} clusters in war_id)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      cnew1plus{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}logtroop {c |}{col 17}{res}{space 2} .4693929{col 29}{space 2} .1786713{col 40}{space 1}    2.63{col 49}{space 3}0.009{col 57}{space 4} .1192036{col 70}{space 3} .8195823
{txt}{space 12}rpr {c |}{col 17}{res}{space 2} 3.139974{col 29}{space 2} 1.307595{col 40}{space 1}    2.40{col 49}{space 3}0.016{col 57}{space 4} .5771354{col 70}{space 3} 5.702813
{txt}{space 2}shared_ethnic {c |}{col 17}{res}{space 2}-.0159285{col 29}{space 2} .6228372{col 40}{space 1}   -0.03{col 49}{space 3}0.980{col 57}{space 4}-1.236667{col 70}{space 3}  1.20481
{txt}{space 6}criminals {c |}{col 17}{res}{space 2} .8638208{col 29}{space 2} .5195875{col 40}{space 1}    1.66{col 49}{space 3}0.096{col 57}{space 4} -.154552{col 70}{space 3} 1.882193
{txt}{space 7}peasants {c |}{col 17}{res}{space 2} 1.906958{col 29}{space 2} .5242334{col 40}{space 1}    3.64{col 49}{space 3}0.000{col 57}{space 4}   .87948{col 70}{space 3} 2.934437
{txt}{space 3}semiofficial {c |}{col 17}{res}{space 2}-.9718871{col 29}{space 2} .6775733{col 40}{space 1}   -1.43{col 49}{space 3}0.151{col 57}{space 4}-2.299906{col 70}{space 3} .3561321
{txt}jointmembership {c |}{col 17}{res}{space 2}-1.226156{col 29}{space 2} .5436317{col 40}{space 1}   -2.26{col 49}{space 3}0.024{col 57}{space 4}-2.291654{col 70}{space 3}-.1606572
{txt}{space 6}contigwar {c |}{col 17}{res}{space 2}-1.842311{col 29}{space 2} .4632932{col 40}{space 1}   -3.98{col 49}{space 3}0.000{col 57}{space 4}-2.750349{col 70}{space 3} -.934273
{txt}{space 4}lngdpcapnew {c |}{col 17}{res}{space 2}-.4553753{col 29}{space 2} .2212419{col 40}{space 1}   -2.06{col 49}{space 3}0.040{col 57}{space 4}-.8890015{col 70}{space 3}-.0217491
{txt}{space 5}separatist {c |}{col 17}{res}{space 2}-.0580859{col 29}{space 2} .4183476{col 40}{space 1}   -0.14{col 49}{space 3}0.890{col 57}{space 4}-.8780322{col 70}{space 3} .7618604
{txt}{space 9}polity {c |}{col 17}{res}{space 2} .0779823{col 29}{space 2} .0319862{col 40}{space 1}    2.44{col 49}{space 3}0.015{col 57}{space 4} .0152905{col 70}{space 3} .1406741
{txt}{space 2}num_militias3 {c |}{col 17}{res}{space 2} .0407058{col 29}{space 2} .0579735{col 40}{space 1}    0.70{col 49}{space 3}0.483{col 57}{space 4}-.0729202{col 70}{space 3} .1543318
{txt}formedduringwar {c |}{col 17}{res}{space 2} .3435608{col 29}{space 2} .4582499{col 40}{space 1}    0.75{col 49}{space 3}0.453{col 57}{space 4}-.5545924{col 70}{space 3} 1.241714
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-1.314078{col 29}{space 2} 2.411169{col 40}{space 1}   -0.54{col 49}{space 3}0.586{col 57}{space 4}-6.039883{col 70}{space 3} 3.411727
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit cnew2plus logtroop rpr shared_ethnic criminal peasant semiofficial jointmembership contigwar lngdpcapnew separatist polity num_militias3 formed, cluster(war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-91.571533}  
Iteration 1:{space 3}log pseudolikelihood = {res:-59.895273}  
Iteration 2:{space 3}log pseudolikelihood = {res:-52.315988}  
Iteration 3:{space 3}log pseudolikelihood = {res:-51.363695}  
Iteration 4:{space 3}log pseudolikelihood = {res: -51.34846}  
Iteration 5:{space 3}log pseudolikelihood = {res:-51.348439}  
Iteration 6:{space 3}log pseudolikelihood = {res:-51.348439}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       194
{txt}{col 49}Wald chi2({res}13{txt}){col 67}= {res}     60.68
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-51.348439{txt}{col 49}Pseudo R2{col 67}= {res}    0.4393

{txt}{ralign 81:(Std. Err. adjusted for {res:71} clusters in war_id)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      cnew2plus{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}logtroop {c |}{col 17}{res}{space 2} 1.013475{col 29}{space 2} .3656686{col 40}{space 1}    2.77{col 49}{space 3}0.006{col 57}{space 4} .2967781{col 70}{space 3} 1.730173
{txt}{space 12}rpr {c |}{col 17}{res}{space 2} .9345045{col 29}{space 2} 1.783483{col 40}{space 1}    0.52{col 49}{space 3}0.600{col 57}{space 4}-2.561057{col 70}{space 3} 4.430066
{txt}{space 2}shared_ethnic {c |}{col 17}{res}{space 2}-.9205297{col 29}{space 2} .9499211{col 40}{space 1}   -0.97{col 49}{space 3}0.333{col 57}{space 4}-2.782341{col 70}{space 3} .9412815
{txt}{space 6}criminals {c |}{col 17}{res}{space 2} 2.138608{col 29}{space 2} 1.090165{col 40}{space 1}    1.96{col 49}{space 3}0.050{col 57}{space 4} .0019244{col 70}{space 3} 4.275292
{txt}{space 7}peasants {c |}{col 17}{res}{space 2} 2.314237{col 29}{space 2} .6843814{col 40}{space 1}    3.38{col 49}{space 3}0.001{col 57}{space 4}  .972874{col 70}{space 3}   3.6556
{txt}{space 3}semiofficial {c |}{col 17}{res}{space 2}-1.155314{col 29}{space 2}  .567832{col 40}{space 1}   -2.03{col 49}{space 3}0.042{col 57}{space 4}-2.268244{col 70}{space 3}-.0423839
{txt}jointmembership {c |}{col 17}{res}{space 2} .7230835{col 29}{space 2} .6794326{col 40}{space 1}    1.06{col 49}{space 3}0.287{col 57}{space 4}-.6085799{col 70}{space 3} 2.054747
{txt}{space 6}contigwar {c |}{col 17}{res}{space 2}-.8314096{col 29}{space 2} .7825247{col 40}{space 1}   -1.06{col 49}{space 3}0.288{col 57}{space 4} -2.36513{col 70}{space 3} .7023107
{txt}{space 4}lngdpcapnew {c |}{col 17}{res}{space 2}-.8087586{col 29}{space 2} .3422497{col 40}{space 1}   -2.36{col 49}{space 3}0.018{col 57}{space 4}-1.479556{col 70}{space 3}-.1379615
{txt}{space 5}separatist {c |}{col 17}{res}{space 2}-.5412349{col 29}{space 2} .8716025{col 40}{space 1}   -0.62{col 49}{space 3}0.535{col 57}{space 4}-2.249544{col 70}{space 3} 1.167075
{txt}{space 9}polity {c |}{col 17}{res}{space 2} .0627959{col 29}{space 2}  .046534{col 40}{space 1}    1.35{col 49}{space 3}0.177{col 57}{space 4}-.0284091{col 70}{space 3} .1540008
{txt}{space 2}num_militias3 {c |}{col 17}{res}{space 2}-.0335313{col 29}{space 2} .0607716{col 40}{space 1}   -0.55{col 49}{space 3}0.581{col 57}{space 4}-.1526414{col 70}{space 3} .0855788
{txt}formedduringwar {c |}{col 17}{res}{space 2} .8454446{col 29}{space 2} .7432213{col 40}{space 1}    1.14{col 49}{space 3}0.255{col 57}{space 4}-.6112425{col 70}{space 3} 2.302132
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-1.225061{col 29}{space 2} 3.670513{col 40}{space 1}   -0.33{col 49}{space 3}0.739{col 57}{space 4}-8.419135{col 70}{space 3} 5.969013
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit cnew1plus logtroop rpr shared_ethnic criminal peasant semiofficial jointmembership if formed==1, cluster(war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-90.949219}  
Iteration 1:{space 3}log pseudolikelihood = {res:-60.798235}  
Iteration 2:{space 3}log pseudolikelihood = {res:-60.232902}  
Iteration 3:{space 3}log pseudolikelihood = {res:-60.231507}  
Iteration 4:{space 3}log pseudolikelihood = {res:-60.231507}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       132
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}     49.28
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-60.231507{txt}{col 49}Pseudo R2{col 67}= {res}    0.3377

{txt}{ralign 81:(Std. Err. adjusted for {res:53} clusters in war_id)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      cnew1plus{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}logtroop {c |}{col 17}{res}{space 2} .5192626{col 29}{space 2} .1772316{col 40}{space 1}    2.93{col 49}{space 3}0.003{col 57}{space 4} .1718951{col 70}{space 3} .8666301
{txt}{space 12}rpr {c |}{col 17}{res}{space 2} 2.282265{col 29}{space 2} 1.057743{col 40}{space 1}    2.16{col 49}{space 3}0.031{col 57}{space 4} .2091256{col 70}{space 3} 4.355403
{txt}{space 2}shared_ethnic {c |}{col 17}{res}{space 2} -.580569{col 29}{space 2} .6365625{col 40}{space 1}   -0.91{col 49}{space 3}0.362{col 57}{space 4}-1.828209{col 70}{space 3} .6670706
{txt}{space 6}criminals {c |}{col 17}{res}{space 2} .7866286{col 29}{space 2} .7379677{col 40}{space 1}    1.07{col 49}{space 3}0.286{col 57}{space 4}-.6597614{col 70}{space 3} 2.233019
{txt}{space 7}peasants {c |}{col 17}{res}{space 2} 2.032194{col 29}{space 2} .5177476{col 40}{space 1}    3.93{col 49}{space 3}0.000{col 57}{space 4} 1.017428{col 70}{space 3} 3.046961
{txt}{space 3}semiofficial {c |}{col 17}{res}{space 2}-1.073011{col 29}{space 2} .5668826{col 40}{space 1}   -1.89{col 49}{space 3}0.058{col 57}{space 4}-2.184081{col 70}{space 3}  .038058
{txt}jointmembership {c |}{col 17}{res}{space 2}-1.322785{col 29}{space 2} .5118435{col 40}{space 1}   -2.58{col 49}{space 3}0.010{col 57}{space 4}-2.325979{col 70}{space 3}-.3195898
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-4.467385{col 29}{space 2} 1.438689{col 40}{space 1}   -3.11{col 49}{space 3}0.002{col 57}{space 4}-7.287164{col 70}{space 3}-1.647606
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit cnew2plus logtroop rpr shared_ethnic criminal peasant semiofficial jointmembership if formed==1, cluster(war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-66.876422}  
Iteration 1:{space 3}log pseudolikelihood = {res:-45.113915}  
Iteration 2:{space 3}log pseudolikelihood = {res:-41.532439}  
Iteration 3:{space 3}log pseudolikelihood = {res:-41.427191}  
Iteration 4:{space 3}log pseudolikelihood = {res:-41.426845}  
Iteration 5:{space 3}log pseudolikelihood = {res:-41.426845}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       132
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}     65.34
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-41.426845{txt}{col 49}Pseudo R2{col 67}= {res}    0.3805

{txt}{ralign 81:(Std. Err. adjusted for {res:53} clusters in war_id)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      cnew2plus{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}logtroop {c |}{col 17}{res}{space 2} .6445296{col 29}{space 2} .1820228{col 40}{space 1}    3.54{col 49}{space 3}0.000{col 57}{space 4} .2877714{col 70}{space 3} 1.001288
{txt}{space 12}rpr {c |}{col 17}{res}{space 2} 1.776139{col 29}{space 2} 1.712201{col 40}{space 1}    1.04{col 49}{space 3}0.300{col 57}{space 4}-1.579712{col 70}{space 3} 5.131991
{txt}{space 2}shared_ethnic {c |}{col 17}{res}{space 2}-.5371259{col 29}{space 2} .9684766{col 40}{space 1}   -0.55{col 49}{space 3}0.579{col 57}{space 4}-2.435305{col 70}{space 3} 1.361053
{txt}{space 6}criminals {c |}{col 17}{res}{space 2} 1.989319{col 29}{space 2} 1.223326{col 40}{space 1}    1.63{col 49}{space 3}0.104{col 57}{space 4}-.4083556{col 70}{space 3} 4.386994
{txt}{space 7}peasants {c |}{col 17}{res}{space 2} 2.241879{col 29}{space 2} .7193602{col 40}{space 1}    3.12{col 49}{space 3}0.002{col 57}{space 4} .8319591{col 70}{space 3} 3.651799
{txt}{space 3}semiofficial {c |}{col 17}{res}{space 2} -1.55456{col 29}{space 2} .6224927{col 40}{space 1}   -2.50{col 49}{space 3}0.013{col 57}{space 4}-2.774623{col 70}{space 3}-.3344969
{txt}jointmembership {c |}{col 17}{res}{space 2} 1.008694{col 29}{space 2} .8429639{col 40}{space 1}    1.20{col 49}{space 3}0.231{col 57}{space 4}-.6434846{col 70}{space 3} 2.660873
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-6.564976{col 29}{space 2} 2.863622{col 40}{space 1}   -2.29{col 49}{space 3}0.022{col 57}{space 4}-12.17757{col 70}{space 3}-.9523812
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit cnew1plus logtroop rpr shared_ethnic criminal peasant semiofficial jointmembership contigwar lngdpcapnew separatist polity num_militias3 if formed==1, cluster(war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-90.949219}  
Iteration 1:{space 3}log pseudolikelihood = {res:-53.929356}  
Iteration 2:{space 3}log pseudolikelihood = {res:-52.949761}  
Iteration 3:{space 3}log pseudolikelihood = {res:-52.921461}  
Iteration 4:{space 3}log pseudolikelihood = {res:-52.921441}  
Iteration 5:{space 3}log pseudolikelihood = {res:-52.921441}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       132
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     46.88
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-52.921441{txt}{col 49}Pseudo R2{col 67}= {res}    0.4181

{txt}{ralign 81:(Std. Err. adjusted for {res:53} clusters in war_id)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      cnew1plus{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}logtroop {c |}{col 17}{res}{space 2} .3864558{col 29}{space 2}  .233926{col 40}{space 1}    1.65{col 49}{space 3}0.099{col 57}{space 4}-.0720309{col 70}{space 3} .8449424
{txt}{space 12}rpr {c |}{col 17}{res}{space 2}  2.63212{col 29}{space 2} 1.749605{col 40}{space 1}    1.50{col 49}{space 3}0.132{col 57}{space 4}-.7970433{col 70}{space 3} 6.061284
{txt}{space 2}shared_ethnic {c |}{col 17}{res}{space 2}-.2916295{col 29}{space 2}  .593331{col 40}{space 1}   -0.49{col 49}{space 3}0.623{col 57}{space 4}-1.454537{col 70}{space 3} .8712779
{txt}{space 6}criminals {c |}{col 17}{res}{space 2} 1.058671{col 29}{space 2} .6023052{col 40}{space 1}    1.76{col 49}{space 3}0.079{col 57}{space 4}-.1218256{col 70}{space 3} 2.239167
{txt}{space 7}peasants {c |}{col 17}{res}{space 2} 2.223515{col 29}{space 2} .6001695{col 40}{space 1}    3.70{col 49}{space 3}0.000{col 57}{space 4} 1.047205{col 70}{space 3} 3.399826
{txt}{space 3}semiofficial {c |}{col 17}{res}{space 2} -.829892{col 29}{space 2} .7264759{col 40}{space 1}   -1.14{col 49}{space 3}0.253{col 57}{space 4}-2.253759{col 70}{space 3} .5939746
{txt}jointmembership {c |}{col 17}{res}{space 2}-.8461711{col 29}{space 2} .5280862{col 40}{space 1}   -1.60{col 49}{space 3}0.109{col 57}{space 4}-1.881201{col 70}{space 3} .1888588
{txt}{space 6}contigwar {c |}{col 17}{res}{space 2}-2.034706{col 29}{space 2} .6003366{col 40}{space 1}   -3.39{col 49}{space 3}0.001{col 57}{space 4}-3.211344{col 70}{space 3}-.8580674
{txt}{space 4}lngdpcapnew {c |}{col 17}{res}{space 2}  -.48482{col 29}{space 2} .3426026{col 40}{space 1}   -1.42{col 49}{space 3}0.157{col 57}{space 4}-1.156309{col 70}{space 3} .1866687
{txt}{space 5}separatist {c |}{col 17}{res}{space 2}-.1045656{col 29}{space 2} .5868957{col 40}{space 1}   -0.18{col 49}{space 3}0.859{col 57}{space 4} -1.25486{col 70}{space 3} 1.045729
{txt}{space 9}polity {c |}{col 17}{res}{space 2} .0311734{col 29}{space 2} .0451292{col 40}{space 1}    0.69{col 49}{space 3}0.490{col 57}{space 4}-.0572782{col 70}{space 3}  .119625
{txt}{space 2}num_militias3 {c |}{col 17}{res}{space 2} .0368953{col 29}{space 2} .0644205{col 40}{space 1}    0.57{col 49}{space 3}0.567{col 57}{space 4}-.0893665{col 70}{space 3} .1631572
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .0532657{col 29}{space 2} 3.649968{col 40}{space 1}    0.01{col 49}{space 3}0.988{col 57}{space 4} -7.10054{col 70}{space 3} 7.207071
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit cnew2plus logtroop rpr shared_ethnic criminal peasant semiofficial jointmembership contigwar lngdpcapnew separatist polity num_militias3 if formed==1, cluster(war_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-66.876422}  
Iteration 1:{space 3}log pseudolikelihood = {res:-43.746956}  
Iteration 2:{space 3}log pseudolikelihood = {res:-39.959821}  
Iteration 3:{space 3}log pseudolikelihood = {res:-39.621758}  
Iteration 4:{space 3}log pseudolikelihood = {res:-39.616754}  
Iteration 5:{space 3}log pseudolikelihood = {res: -39.61675}  
Iteration 6:{space 3}log pseudolikelihood = {res: -39.61675}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       132
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     45.72
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -39.61675{txt}{col 49}Pseudo R2{col 67}= {res}    0.4076

{txt}{ralign 81:(Std. Err. adjusted for {res:53} clusters in war_id)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      cnew2plus{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}logtroop {c |}{col 17}{res}{space 2} .7039084{col 29}{space 2} .3845116{col 40}{space 1}    1.83{col 49}{space 3}0.067{col 57}{space 4}-.0497205{col 70}{space 3} 1.457537
{txt}{space 12}rpr {c |}{col 17}{res}{space 2}  2.19043{col 29}{space 2} 2.431096{col 40}{space 1}    0.90{col 49}{space 3}0.368{col 57}{space 4}-2.574432{col 70}{space 3} 6.955291
{txt}{space 2}shared_ethnic {c |}{col 17}{res}{space 2}-.6640247{col 29}{space 2} .9535343{col 40}{space 1}   -0.70{col 49}{space 3}0.486{col 57}{space 4}-2.532918{col 70}{space 3} 1.204868
{txt}{space 6}criminals {c |}{col 17}{res}{space 2} 1.925771{col 29}{space 2} 1.278855{col 40}{space 1}    1.51{col 49}{space 3}0.132{col 57}{space 4}-.5807385{col 70}{space 3}  4.43228
{txt}{space 7}peasants {c |}{col 17}{res}{space 2} 2.196027{col 29}{space 2} .8335932{col 40}{space 1}    2.63{col 49}{space 3}0.008{col 57}{space 4} .5622148{col 70}{space 3}  3.82984
{txt}{space 3}semiofficial {c |}{col 17}{res}{space 2}-1.463982{col 29}{space 2}   .70713{col 40}{space 1}   -2.07{col 49}{space 3}0.038{col 57}{space 4}-2.849931{col 70}{space 3}-.0780323
{txt}jointmembership {c |}{col 17}{res}{space 2} 1.352545{col 29}{space 2} .9152217{col 40}{space 1}    1.48{col 49}{space 3}0.139{col 57}{space 4} -.441257{col 70}{space 3} 3.146346
{txt}{space 6}contigwar {c |}{col 17}{res}{space 2} -1.51981{col 29}{space 2} .9236342{col 40}{space 1}   -1.65{col 49}{space 3}0.100{col 57}{space 4}  -3.3301{col 70}{space 3} .2904795
{txt}{space 4}lngdpcapnew {c |}{col 17}{res}{space 2}-.1491688{col 29}{space 2} .4632225{col 40}{space 1}   -0.32{col 49}{space 3}0.747{col 57}{space 4}-1.057068{col 70}{space 3} .7587306
{txt}{space 5}separatist {c |}{col 17}{res}{space 2}-1.096343{col 29}{space 2} .9724909{col 40}{space 1}   -1.13{col 49}{space 3}0.260{col 57}{space 4} -3.00239{col 70}{space 3} .8097042
{txt}{space 9}polity {c |}{col 17}{res}{space 2}-.0426267{col 29}{space 2} .0548815{col 40}{space 1}   -0.78{col 49}{space 3}0.437{col 57}{space 4}-.1501924{col 70}{space 3}  .064939
{txt}{space 2}num_militias3 {c |}{col 17}{res}{space 2}-.0461998{col 29}{space 2} .0605386{col 40}{space 1}   -0.76{col 49}{space 3}0.445{col 57}{space 4}-.1648532{col 70}{space 3} .0724536
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-4.500843{col 29}{space 2} 5.628343{col 40}{space 1}   -0.80{col 49}{space 3}0.424{col 57}{space 4}-15.53219{col 70}{space 3} 6.530507
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. ** Table 9: Cox Model **
. clear 
{txt}
{com}. 
. use "survivaldata_public.dta"
{txt}
{com}. 
. stset survivaltime, id(pgm_id) failure(dissolve)

                {txt}id:  {res}pgm_id
     {txt}failure event:  {res}dissolve != 0 & dissolve < .
{txt}obs. time interval:  {res}(survivaltime_orig[_n-1], survivaltime_orig]
{txt} exit on or before:  {res}failure

{txt}{hline 78}
{res}       1589{txt}  total observations
{res}          0{txt}  exclusions
{hline 78}
{res}       1589{txt}  observations remaining, representing
{res}        152{txt}  subjects
{res}        116{txt}  failures in single-failure-per-subject data
{res}       1810{txt}  total analysis time at risk and under observation
                                                at risk from t = {res}        0
                                     {txt}earliest observed entry t = {res}        0
                                          {txt}last observed exit t = {res}       65
{txt}
{com}. stcox rpr containment1new if war==0, vce(cluster cowcode) nohr 

         {txt}failure _d:  {res}dissolve
   {txt}analysis time _t:  {res}survivaltime_orig
                 {txt}id:  {res}pgm_id

{txt}Iteration 0:   log pseudolikelihood = {res}-52.589583
{txt}Iteration 1:   log pseudolikelihood = {res}-51.485639
{txt}Iteration 2:   log pseudolikelihood = {res}-51.482125
{txt}Iteration 3:   log pseudolikelihood = {res}-51.482124
{txt}Refining estimates:
Iteration 0:   log pseudolikelihood = {res}-51.482124

{txt}Cox regression -- Breslow method for ties

No. of subjects      = {res}          43             {txt}Number of obs    =  {res}       199
{txt}No. of failures      = {res}          28
{txt}Time at risk         = {res}         199
                                                {txt}Wald chi2({res}2{txt})     =  {res}      1.65
{txt}Log pseudolikelihood =   {res}-51.482124             {txt}Prob > chi2      =  {res}    0.4372

{txt}{ralign 81:(Std. Err. adjusted for {res:20} clusters in cowcode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}rpr {c |}{col 17}{res}{space 2}-.9378733{col 29}{space 2} .8114467{col 40}{space 1}   -1.16{col 49}{space 3}0.248{col 57}{space 4} -2.52828{col 70}{space 3}  .652533
{txt}containment1new {c |}{col 17}{res}{space 2} .4016956{col 29}{space 2}  .321546{col 40}{space 1}    1.25{col 49}{space 3}0.212{col 57}{space 4} -.228523{col 70}{space 3} 1.031914
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. stcox rpr containment1new rprcont3 if war==0, vce(cluster cowcode) nohr 

         {txt}failure _d:  {res}dissolve
   {txt}analysis time _t:  {res}survivaltime_orig
                 {txt}id:  {res}pgm_id

{txt}Iteration 0:   log pseudolikelihood = {res}-52.589583
{txt}Iteration 1:   log pseudolikelihood = {res} -51.10783
{txt}Iteration 2:   log pseudolikelihood = {res}-51.028618
{txt}Iteration 3:   log pseudolikelihood = {res}-51.028547
{txt}Refining estimates:
Iteration 0:   log pseudolikelihood = {res}-51.028547

{txt}Cox regression -- Breslow method for ties

No. of subjects      = {res}          43             {txt}Number of obs    =  {res}       199
{txt}No. of failures      = {res}          28
{txt}Time at risk         = {res}         199
                                                {txt}Wald chi2({res}3{txt})     =  {res}      6.31
{txt}Log pseudolikelihood =   {res}-51.028547             {txt}Prob > chi2      =  {res}    0.0976

{txt}{ralign 81:(Std. Err. adjusted for {res:20} clusters in cowcode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}rpr {c |}{col 17}{res}{space 2}  .956082{col 29}{space 2} 1.599885{col 40}{space 1}    0.60{col 49}{space 3}0.550{col 57}{space 4}-2.179635{col 70}{space 3} 4.091799
{txt}containment1new {c |}{col 17}{res}{space 2}  2.18335{col 29}{space 2} 1.104184{col 40}{space 1}    1.98{col 49}{space 3}0.048{col 57}{space 4} .0191898{col 70}{space 3}  4.34751
{txt}{space 7}rprcont3 {c |}{col 17}{res}{space 2}-1.634862{col 29}{space 2} 1.088962{col 40}{space 1}   -1.50{col 49}{space 3}0.133{col 57}{space 4}-3.769189{col 70}{space 3} .4994656
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. lincom(_b[rpr]+_b[rprcont3]*1)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}rpr + rprcont3 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.6787796{col 26}{space 2} .8330126{col 37}{space 1}   -0.81{col 46}{space 3}0.415{col 54}{space 4}-2.311454{col 67}{space 3}  .953895
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. lincom(_b[rpr]+_b[rprcont3]*2)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}rpr + 2{res}*{res}rprcont3 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-2.313641{col 26}{space 2} 1.095384{col 37}{space 1}   -2.11{col 46}{space 3}0.035{col 54}{space 4}-4.460555{col 67}{space 3}-.1667276
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. lincom(_b[rpr]+_b[rprcont3]*3)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}rpr + 3{res}*{res}rprcont3 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-3.948503{col 26}{space 2} 2.019282{col 37}{space 1}   -1.96{col 46}{space 3}0.051{col 54}{space 4}-7.906224{col 67}{space 3}  .009218
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. ** See R-script for all figures **
. 
. 
{txt}end of do-file

{com}.  log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\brand\Desktop\PGM_ISQ_Final_Files\Replication_Materials\PGM_ISQ_logfile.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}11 Dec 2020, 16:41:08
{txt}{.-}
{smcl}
{txt}{sf}{ul off}